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The design of spatial compliant mechanisms with distributed multi-stability based on post-buckled cylindrical compliant beams
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-14 DOI: 10.1016/j.ymssp.2025.112365
Haitong Liang , Zhidi Yang , Liwen Zhang , Bin Luo , Hongguang Liu , Li Li , Jonathan B. Hopkins , Guangbo Hao
Multi-stable compliant mechanisms (MSCMs) feature multiple stable structural configurations. The majority of MSCMs can only transfer from one stable configuration to another via a single transferring path in a fixed sequence, which is defined as hierarchical multi-stability. This study introduces the distributed concept from the computing science to the field of MSCMs. The compliant mechanism with distributed multi-stability has a group of stable states which are mutually connected by a network of stable-state-transferring paths. It can transfer from one stable state to the targeted one via multiple paths. A general structural method is proposed to construct the spatial compliant mechanisms with distributed multi-stability based on the interaction of post-buckled cylindrical compliant beams. The beams are spatially arranged to align the lines that connect the vertex and the center point of five convex regular polyhedrons. A series of distributed multi-stability, i.e. octa-stability (conditional), hexa-stability, octa-stability, dodeca-stability, and icosa-stability, can be obtained. The distributed hexa-stability is focused and demonstrated in this research as a case study. A sequential preloading method is proposed for equivalent axial displacement preloading on the compliant beams in both finite element analysis (FEA) simulations and prototype operations. As a case study, the distributed hexa-stability is verified by the strain energy distribution scatter graph drawn based on the FEA simulations. The six stable states are equivalent and have identical rotational angles observing from the direction perpendicular to each surface of the outer cubic frame. A prototype of the hexa-stable compliant mechanism is fabricated using 3D printers in the assembling manner. The distributed hexa-stability is further observed, measured, and experimentally verified using a Vicon camera system. The application of the hexa-stable compliant mechanism used as a multi-directional optical reflector is demonstrated. Extending the geometric configurations from regular polyhedrons to semi-regular polyhedrons and regular prisms, the capability of the proposed structural concept to construct multi-stability is investigated. The series of MSCMs with distributed multi-stability can be used as multi-base logical units for advanced mechanical computing. Further application fields include precision platform, vibrational energy harvesting, space exploration, metamaterials, and adjustable mirror mounts in photonics.
{"title":"The design of spatial compliant mechanisms with distributed multi-stability based on post-buckled cylindrical compliant beams","authors":"Haitong Liang ,&nbsp;Zhidi Yang ,&nbsp;Liwen Zhang ,&nbsp;Bin Luo ,&nbsp;Hongguang Liu ,&nbsp;Li Li ,&nbsp;Jonathan B. Hopkins ,&nbsp;Guangbo Hao","doi":"10.1016/j.ymssp.2025.112365","DOIUrl":"10.1016/j.ymssp.2025.112365","url":null,"abstract":"<div><div>Multi-stable compliant mechanisms (MSCMs) feature multiple stable structural configurations. The majority of MSCMs can only transfer from one stable configuration to another via a single transferring path in a fixed sequence, which is defined as hierarchical multi-stability. This study introduces the distributed concept from the computing science to the field of MSCMs. The compliant mechanism with distributed multi-stability has a group of stable states which are mutually connected by a network of stable-state-transferring paths. It can transfer from one stable state to the targeted one via multiple paths. A general structural method is proposed to construct the spatial compliant mechanisms with distributed multi-stability based on the interaction of post-buckled cylindrical compliant beams. The beams are spatially arranged to align the lines that connect the vertex and the center point of five convex regular polyhedrons. A series of distributed multi-stability, i.e. octa-stability (conditional), hexa-stability, octa-stability, dodeca-stability, and icosa-stability, can be obtained. The distributed hexa-stability is focused and demonstrated in this research as a case study. A sequential preloading method is proposed for equivalent axial displacement preloading on the compliant beams in both finite element analysis (FEA) simulations and prototype operations. As a case study, the distributed hexa-stability is verified by the strain energy distribution scatter graph drawn based on the FEA simulations. The six stable states are equivalent and have identical rotational angles observing from the direction perpendicular to each surface of the outer cubic frame. A prototype of the hexa-stable compliant mechanism is fabricated using 3D printers in the assembling manner. The distributed hexa-stability is further observed, measured, and experimentally verified using a Vicon camera system. The application of the hexa-stable compliant mechanism used as a multi-directional optical reflector is demonstrated. Extending the geometric configurations from regular polyhedrons to semi-regular polyhedrons and regular prisms, the capability of the proposed structural concept to construct multi-stability is investigated. The series of MSCMs with distributed multi-stability can be used as multi-base logical units for advanced mechanical computing. Further application fields include precision platform, vibrational energy harvesting, space exploration, metamaterials, and adjustable mirror mounts in photonics.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112365"},"PeriodicalIF":7.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143418577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Collaborative multi-objective design strategy of number and placement for structural vibration suppression components with correlated and bounded uncertainties
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-14 DOI: 10.1016/j.ymssp.2025.112448
Qingshuang Wang , Chen Yang , Guorui Yuan , Ziyao Fan
The optimization of structural vibration suppression components is of great significance to the active control of vibration and sound. For the active vibration control system with correlated and bounded uncertainty, this paper proposes a collaborative design strategy for the number and placement of structural vibration suppression components. The uncertainty is quantified as an interval parameter. The interval analysis of the active vibration control system is realized by the convex sets-based method. Analyzing the controllability and observability of the system, the Gramian criteria for the placement of structural vibration suppression components can be obtained. By propagating uncertainty based on convex sets, the bounds of eigenvalues for the Gramian criteria can be obtained. To optimize the number and placement of structural vibration suppression components, a collaborative design strategy is developed. This strategy first optimizes the number by comparing the Pareto Front with different component counts. On this basis, the multi-objective robust optimization for placement of component method is implemented by considering the interval and radius of the performance index. The feasibility of the collaborative multi-objective design strategy is demonstrated by two examples.
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引用次数: 0
Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-14 DOI: 10.1016/j.ymssp.2025.112460
Guowei Zhang , Xianguang Kong , Hongbo Ma , Qibin Wang , Jingli Du , Jinrui Wang
The objective of domain generalization fault diagnosis is to develop a robust model that can generalize to unseen domains. This makes it a highly ambitious and challenging task. However, most current methods rely on domain labels to extract domain-invariant features and do not consider the negative impact of the presence of class-irrelevant features in domain-invariant features on generalization. Therefore, this paper proposes a dual disentanglement domain generalization method for rotating machinery fault diagnosis that does not depend on domain labels. Based on the analysis of the potential features between domains and class labels, a dual contrastive disentanglement module and an adversarial mask disentanglement module are proposed to disentangle the domain-invariant and class-relevant features, respectively. Specifically, in the dual contrastive disentanglement module, the concept of contrasting is employed to train the network shallow features of the source data and the style-enhanced data to produce domain-aware mask decoupled domain-specific and domain-invariant representations. The adversarial mask disentanglement module uses an adversarial classifier to update the class-aware mask and further accurately separate class-relevant and class-irrelevant features. Concurrently, the KLD loss is devised to guarantee that the class-relevant features encompass sufficient labeling information. Finally, the efficacy of the method is substantiated by comprehensive experimental findings on both public and private datasets. The code will be available at: https://github.com/GuoweiaaZhang/DDDG.
{"title":"Dual disentanglement domain generalization method for rotating Machinery fault diagnosis","authors":"Guowei Zhang ,&nbsp;Xianguang Kong ,&nbsp;Hongbo Ma ,&nbsp;Qibin Wang ,&nbsp;Jingli Du ,&nbsp;Jinrui Wang","doi":"10.1016/j.ymssp.2025.112460","DOIUrl":"10.1016/j.ymssp.2025.112460","url":null,"abstract":"<div><div>The objective of domain generalization fault diagnosis is to develop a robust model that can generalize to unseen domains. This makes it a highly ambitious and challenging task. However, most current methods rely on domain labels to extract domain-invariant features and do not consider the negative impact of the presence of class-irrelevant features in domain-invariant features on generalization. Therefore, this paper proposes a dual disentanglement domain generalization method for rotating machinery fault diagnosis that does not depend on domain labels. Based on the analysis of the potential features between domains and class labels, a dual contrastive disentanglement module and an adversarial mask disentanglement module are proposed to disentangle the domain-invariant and class-relevant features, respectively. Specifically, in the dual contrastive disentanglement module, the concept of contrasting is employed to train the network shallow features of the source data and the style-enhanced data to produce domain-aware mask decoupled domain-specific and domain-invariant representations. The adversarial mask disentanglement module uses an adversarial classifier to update the class-aware mask and further accurately separate class-relevant and class-irrelevant features. Concurrently, the KLD loss is devised to guarantee that the class-relevant features encompass sufficient labeling information. Finally, the efficacy of the method is substantiated by comprehensive experimental findings on both public and private datasets. The code will be available at: <span><span>https://github.com/GuoweiaaZhang/DDDG</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112460"},"PeriodicalIF":7.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143418575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-13 DOI: 10.1016/j.ymssp.2025.112456
Zhilie Gao, Ni Chen, Liang Li
Monitoring tool wear is vital in the cutting process as it guarantees the quality production of intricate aerospace components and boosts manufacturing efficiency. However, traditional monitoring methods may fall short when confronted with varying cutting conditions and a scarcity of data. To address this, the paper introduces an innovative algorithm known as MKWADTL (Model and Knowledge-Guided Multi-Expert Weighted Adversarial Deep Transfer Learning). The primary aim of MKWADTL is to refine the main network’s performance by tapping into the inherent knowledge embedded within the cutting parameters. Moreover, the algorithm capitalizes on the correlation between force signals and the variance in tool wear across different time frames to formulate a loss function that is informed by physical principles. In addition, the paper puts forward a multi-expert weighted adversarial structure. Through this framework, multiple experts can independently learn and identify various signal characteristics. Subsequently, the features extracted by these experts are integrated to ensure more precise data feature extraction, facilitating the monitoring of tool wear across a spectrum of processing environments. The MKWADTL algorithm’s exceptional accuracy in monitoring is exemplified on the custom-crafted dataset, the NUAA dataset and the NASA dataset.
{"title":"A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning","authors":"Zhilie Gao,&nbsp;Ni Chen,&nbsp;Liang Li","doi":"10.1016/j.ymssp.2025.112456","DOIUrl":"10.1016/j.ymssp.2025.112456","url":null,"abstract":"<div><div>Monitoring tool wear is vital in the cutting process as it guarantees the quality production of intricate aerospace components and boosts manufacturing efficiency. However, traditional monitoring methods may fall short when confronted with varying cutting conditions and a scarcity of data. To address this, the paper introduces an innovative algorithm known as MKWADTL (Model and Knowledge-Guided Multi-Expert Weighted Adversarial Deep Transfer Learning). The primary aim of MKWADTL is to refine the main network’s performance by tapping into the inherent knowledge embedded within the cutting parameters. Moreover, the algorithm capitalizes on the correlation between force signals and the variance in tool wear across different time frames to formulate a loss function that is informed by physical principles. In addition, the paper puts forward a multi-expert weighted adversarial structure. Through this framework, multiple experts can independently learn and identify various signal characteristics. Subsequently, the features extracted by these experts are integrated to ensure more precise data feature extraction, facilitating the monitoring of tool wear across a spectrum of processing environments. The MKWADTL algorithm’s exceptional accuracy in monitoring is exemplified on the custom-crafted dataset, the NUAA dataset and the NASA dataset.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112456"},"PeriodicalIF":7.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A multidirectional magnetic flux leakage detection based crack 3-D profile reconstruction method
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-13 DOI: 10.1016/j.ymssp.2025.112408
Shengping Li , Libing Bai , Chao Ren , Xu Zhang , Jiangshan Ai , Jie Zhang
Magnetic flux leakage detection is a widely used method for non-destructive testing of ferromagnetic materials. In the research field, the profile reconstruction of defects is the focus. Due to the small width and complex morphology of cracks, it is easy to have signals missing and distortion based on unidirectional magnetic field excitation. Such issues make it difficult to reconstruct the three-dimensional profile. In this paper, a crack three-dimensional profile reconstruction method based on multidirectional magnetic field excitation is proposed. It establishes the simultaneous equations for different excitation directions. Then, it finds the solution satisfying all signals using the regularized conjugate gradient inversion method. This approach can combine the MFL information from different excitation directions to achieve more accurate defect reconstruction. Comparison results based on simulated datas between different directional excitations are carried out. Different artificial defects were also used to experimentally verify the feasibility of the present method.
{"title":"A multidirectional magnetic flux leakage detection based crack 3-D profile reconstruction method","authors":"Shengping Li ,&nbsp;Libing Bai ,&nbsp;Chao Ren ,&nbsp;Xu Zhang ,&nbsp;Jiangshan Ai ,&nbsp;Jie Zhang","doi":"10.1016/j.ymssp.2025.112408","DOIUrl":"10.1016/j.ymssp.2025.112408","url":null,"abstract":"<div><div>Magnetic flux leakage detection is a widely used method for non-destructive testing of ferromagnetic materials. In the research field, the profile reconstruction of defects is the focus. Due to the small width and complex morphology of cracks, it is easy to have signals missing and distortion based on unidirectional magnetic field excitation. Such issues make it difficult to reconstruct the three-dimensional profile. In this paper, a crack three-dimensional profile reconstruction method based on multidirectional magnetic field excitation is proposed. It establishes the simultaneous equations for different excitation directions. Then, it finds the solution satisfying all signals using the regularized conjugate gradient inversion method. This approach can combine the MFL information from different excitation directions to achieve more accurate defect reconstruction. Comparison results based on simulated datas between different directional excitations are carried out. Different artificial defects were also used to experimentally verify the feasibility of the present method.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112408"},"PeriodicalIF":7.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of annular metastructures vibration suppression in rotating machinery
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-13 DOI: 10.1016/j.ymssp.2025.112443
Jie Li, Kelong Liu, Xiao Kang, Xiao Wang
This paper introduces an innovative annular metastructure (AM) designed to transfer the vibration transmission pass from the radial direction to the circumferential direction, which can effectively elongate the vibration transmission pass to include more local resonance vibration mitigation cell structures and overcome the band gap prediction problem due to the non-translation periodicity of the traditional radial metastructure. The study includes the development and fabrication of the AM, as well as the analytical analysis, numerical simulations, and experimental validations. An analytical model of a five-cell structure is developed to predict its vibration transmission characteristics. A finite element model of the rotor system, integrated with the AM, is established, and a rotor vibration test rig is constructed to validate the numerical analysis results. Both the analytical model and numerical results indicate that the negative effective mass characteristic of the local resonator is the intrinsic mechanism for the vibration mitigation of the AM. Additionally, the AM significantly reduces the rotor′s unbalanced response within the vibration band gap. This study shows the designed AM offers several advantages, such as low-frequency vibration suppression capability, structure compact, and comparative load capacity. This study provides valuable insights for the potential practical applications of the AM in rotor dynamics systems.
{"title":"Design of annular metastructures vibration suppression in rotating machinery","authors":"Jie Li,&nbsp;Kelong Liu,&nbsp;Xiao Kang,&nbsp;Xiao Wang","doi":"10.1016/j.ymssp.2025.112443","DOIUrl":"10.1016/j.ymssp.2025.112443","url":null,"abstract":"<div><div>This paper introduces an innovative annular metastructure (AM) designed to transfer the vibration transmission pass from the radial direction to the circumferential direction, which can effectively elongate the vibration transmission pass to include more local resonance vibration mitigation cell structures and overcome the band gap prediction problem due to the non-translation periodicity of the traditional radial metastructure. The study includes the development and fabrication of the AM, as well as the analytical analysis, numerical simulations, and experimental validations. An analytical model of a five-cell structure is developed to predict its vibration transmission characteristics. A finite element model of the rotor system, integrated with the AM, is established, and a rotor vibration test rig is constructed to validate the numerical analysis results. Both the analytical model and numerical results indicate that the negative effective mass characteristic of the local resonator is the intrinsic mechanism for the vibration mitigation of the AM. Additionally, the AM significantly reduces the rotor′s unbalanced response within the vibration band gap. This study shows the designed AM offers several advantages, such as low-frequency vibration suppression capability, structure compact, and comparative load capacity. This study provides valuable insights for the potential practical applications of the AM in rotor dynamics systems.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112443"},"PeriodicalIF":7.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards high-speed elevator fault diagnosis: A ParallelGraphNet driven multi-sensor optimization selection method
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-13 DOI: 10.1016/j.ymssp.2025.112450
Zili Wang , Huang Zhang , Lemiao Qiu , Shuyou Zhang , Jin Qian , Feifan Xiang , Zhiwei Pan , Jianrong Tan
Due to the complexity of the high-speed elevator operation system, a single sensor may not fully capture its fault characteristics comprehensively. Moreover, manual sensor placement limits fault feature reflection and fails to exploit sensor spatial advantages, hindering further development. To address these limitations, an optimization method for selecting the positions of multiple sensors is proposed by identifying those offering global information gain to make decisions. Additionally, the ParallelGraphNet (Graph Convolutional Network with parallel graph construction layers and parallel pooling layers) is introduced, which parallelly constructs node graphs and segmented graphs, deeply integrating the spatial and temporal characteristics of the collected signals. Moreover, two parallel pooling layers are introduced after the graph convolutional layer to better extract multi-scale features while preserving the original features. Experiments were conducted on the constructed high-speed elevator platform and publicly available gearbox datasets to validate the effectiveness of the proposed method. Comparative experiments were carried out from multiple perspectives, confirming that the proposed method can effectively select sensors to improve sensor acquisition efficiency and fault diagnosis accuracy. The code library is available be https://github.com/FELIZHANG/TWO_LAYER_GRAPH/tree/main.
{"title":"Towards high-speed elevator fault diagnosis: A ParallelGraphNet driven multi-sensor optimization selection method","authors":"Zili Wang ,&nbsp;Huang Zhang ,&nbsp;Lemiao Qiu ,&nbsp;Shuyou Zhang ,&nbsp;Jin Qian ,&nbsp;Feifan Xiang ,&nbsp;Zhiwei Pan ,&nbsp;Jianrong Tan","doi":"10.1016/j.ymssp.2025.112450","DOIUrl":"10.1016/j.ymssp.2025.112450","url":null,"abstract":"<div><div>Due to the complexity of the high-speed elevator operation system, a single sensor may not fully capture its fault characteristics comprehensively. Moreover, manual sensor placement limits fault feature reflection and fails to exploit sensor spatial advantages, hindering further development. To address these limitations, an optimization method for selecting the positions of multiple sensors is proposed by identifying those offering global information gain to make decisions. Additionally, the ParallelGraphNet (Graph Convolutional Network with parallel graph construction layers and parallel pooling layers) is introduced, which parallelly constructs node graphs and segmented graphs, deeply integrating the spatial and temporal characteristics of the collected signals. Moreover, two parallel pooling layers are introduced after the graph convolutional layer to better extract multi-scale features while preserving the original features. Experiments were conducted on the constructed high-speed elevator platform and publicly available gearbox datasets to validate the effectiveness of the proposed method. Comparative experiments were carried out from multiple perspectives, confirming that the proposed method can effectively select sensors to improve sensor acquisition efficiency and fault diagnosis accuracy. The code library is available be <span><span>https://github.com/FELIZHANG/TWO_LAYER_GRAPH/tree/main</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112450"},"PeriodicalIF":7.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A mechanism-based sample generation method utilizing morphological analysis and dynamic modeling for online monitoring of rotor systems
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-13 DOI: 10.1016/j.ymssp.2025.112438
Zepeng Ma, Lei Fu, Dapeng Tan, Jia Liu, Fang Xu, Libin Zhang
Real-time monitoring is essential for mechanical rotor systems, but obtaining sufficient labeled samples to train intelligent models poses significant challenges in real-world scenarios. Moreover, existing data-driven sample generation techniques often fail to capture the physics of fault development, resulting in biased or inaccurate samples. To address this, a sample generation method based on fault mechanisms is proposed, leveraging morphological analysis and dynamic modeling to tackle the few-shot issue in condition monitoring. Specifically, a spatial lumped parameter model is constructed to generate fault mechanism samples. This model accounts for time-varying displacements and transient excitation force coupling, accurately reflecting defective bearing vibration responses. Subsequently, an adaptive optimization approach based on the Pearson correlation coefficient is employed to minimize the gap between real and generated data, ensuring the generated signals are more realistic. Finally, parameter transfer techniques are employed to train models with limited samples on both shallow and deep networks. The diagnostic results confirm that the proposed method effectively overcomes the few-shot challenge.
{"title":"A mechanism-based sample generation method utilizing morphological analysis and dynamic modeling for online monitoring of rotor systems","authors":"Zepeng Ma,&nbsp;Lei Fu,&nbsp;Dapeng Tan,&nbsp;Jia Liu,&nbsp;Fang Xu,&nbsp;Libin Zhang","doi":"10.1016/j.ymssp.2025.112438","DOIUrl":"10.1016/j.ymssp.2025.112438","url":null,"abstract":"<div><div>Real-time monitoring is essential for mechanical rotor systems, but obtaining sufficient labeled samples to train intelligent models poses significant challenges in real-world scenarios. Moreover, existing data-driven sample generation techniques often fail to capture the physics of fault development, resulting in biased or inaccurate samples. To address this, a sample generation method based on fault mechanisms is proposed, leveraging morphological analysis and dynamic modeling to tackle the few-shot issue in condition monitoring. Specifically, a spatial lumped parameter model is constructed to generate fault mechanism samples. This model accounts for time-varying displacements and transient excitation force coupling, accurately reflecting defective bearing vibration responses. Subsequently, an adaptive optimization approach based on the Pearson correlation coefficient is employed to minimize the gap between real and generated data, ensuring the generated signals are more realistic. Finally, parameter transfer techniques are employed to train models with limited samples on both shallow and deep networks. The diagnostic results confirm that the proposed method effectively overcomes the few-shot challenge.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112438"},"PeriodicalIF":7.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High load-bearing plate-type metastructure for ultrabroadband sound insulation
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-12 DOI: 10.1016/j.ymssp.2025.112453
Heng Ren , Gaoge Liang , Quanxing Liu , Yong Xiao
Effective control of low-frequency noise has always been a global challenge. The emergence of sound insulating acoustic metamaterials provides a new approach to break the limitations of mass law at low frequencies. However, the practical application of metamaterials is limited by the challenge of balancing the characteristics of efficient low-frequency sound insulation and high load-bearing capacities. Although some existing metamaterials exhibit high load-bearing capacity and can break mass law in low-frequencies, the sound insulation bandwidth is typically narrow. In the present study, a high load-bearing plate-type metastructure (HLPTMS) for ultrabroadband low-frequency sound insulation is proposed. The HLPTMS is constructed by a periodic stiffened host plate and a flexible thin plate with strip mass blocks. Due to their inherent structural and acoustic coupling effects, ultrabroadband sound insulation performance and high load-bearing capacity are achieved simultaneously. To predict the sound insulation performance of the proposed HLPTMS efficiently, a semi-analytical method is proposed. The sound insulation mechanism of the proposed HLPTMS is further reveled. Through experimental measurement, the excellent ultrabroadband low-frequency sound insulation performance and the high load-bearing capacity of the HLPTMS have been confirmed. The proposed HLPTMS represents a novel metastructure with high load-bearing capacity and ultrabroadband low-frequency sound insulation performance, demonstrating promising applications in practical noise control engineering.
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引用次数: 0
Development of an anti-vibration cutting tool combining the lattice structures infill with damping particles
IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2025-02-12 DOI: 10.1016/j.ymssp.2025.112425
Yun Yang , Hao-Lin Liu , Jia-Wei Yuan , Wei-Long Kong , Min Wan , Wei-Hong Zhang
The damping performance of cutting tools is crucial for mitigating vibrations during the machining of difficult-to-cut materials that experience high cutting forces. Existing anti-vibration cutting tools typically utilize either the dynamic absorber effect or the energy dissipation effect to enhance damping performance. This paper introduces a novel design of anti-vibration cutting tools that combines both effects. To achieve this goal, metallic lattice structures infill is incorporated within the cutting tools to leverage the dynamic absorber effect, while damping particles are filled in the inner lattice structures to facilitate the energy dissipation effect. Subsequently, a numerical model is employed to investigate the dynamic behavior of the damping particles inside lattice structures to reveal the energy dissipation mechanisms and optimize key design parameters. The proposed cutting tools are fabricated using additive manufacturing and compared to the existing cutting tools. Modal impact tests on the tool point and extensive milling tests on titanium alloy Ti-6Al-4 V demonstrate that the damping performance of the proposed cutting tool is significantly enhanced in both X and Y directions. The stability limit corresponding to the proposed cutting tool is increased by 208 % compared to the conventional tool with a solid tool body, and by 100 % compared to the cutting tool with lattice structures infill. Besides, the peak values of the average cutting force and acceleration under stable milling conditions are reduced when compared to the conventional tool.
{"title":"Development of an anti-vibration cutting tool combining the lattice structures infill with damping particles","authors":"Yun Yang ,&nbsp;Hao-Lin Liu ,&nbsp;Jia-Wei Yuan ,&nbsp;Wei-Long Kong ,&nbsp;Min Wan ,&nbsp;Wei-Hong Zhang","doi":"10.1016/j.ymssp.2025.112425","DOIUrl":"10.1016/j.ymssp.2025.112425","url":null,"abstract":"<div><div>The damping performance of cutting tools is crucial for mitigating vibrations during the machining of difficult-to-cut materials that experience high cutting forces. Existing anti-vibration cutting tools typically utilize either the dynamic absorber effect or the energy dissipation effect to enhance damping performance. This paper introduces a novel design of anti-vibration cutting tools that combines both effects. To achieve this goal, metallic lattice structures infill is incorporated within the cutting tools to leverage the dynamic absorber effect, while damping particles are filled in the inner lattice structures to facilitate the energy dissipation effect. Subsequently, a numerical model is employed to investigate the dynamic behavior of the damping particles inside lattice structures to reveal the energy dissipation mechanisms and optimize key design parameters. The proposed cutting tools are fabricated using additive manufacturing and compared to the existing cutting tools. Modal impact tests on the tool point and extensive milling tests on titanium alloy Ti-6Al-4 V demonstrate that the damping performance of the proposed cutting tool is significantly enhanced in both X and Y directions. The stability limit corresponding to the proposed cutting tool is increased by 208 % compared to the conventional tool with a solid tool body, and by 100 % compared to the cutting tool with lattice structures infill. Besides, the peak values of the average cutting force and acceleration under stable milling conditions are reduced when compared to the conventional tool.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112425"},"PeriodicalIF":7.9,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Mechanical Systems and Signal Processing
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