Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942921
Xiaozhen Yan, Qinghua Luo, Yipeng Yang, Zhuo Yang
The power system plays a major role in the maintenance of working properly for satellite. As there are many working loads and different working attitudes, the power system has many diverse working patterns. So it is very critical to recognize the working patterns accurately. However, due to the measurement error, environmental interference, and other uncertainty factors, the output voltage of the satellite power system has remarkable uncertainty. If we did not consider the uncertainty and various working patterns, poor recognized result will be generated. For this issue, we proposed a working patterns recognition method for satellite power system based on uncertainty data clustering strategy. In this method, we firstly utilize uncertainty data clustering strategy to modeling working patterns. Then during pattern recognition stage, we calculate the distances between uncertain cluster centers and the measurement data. The experimental results of actual power system data illustrate the validation and feasibility of our proposed method.
{"title":"A Working Pattern Recognition Method For Satellite Power System Based On Uncertain Data Clustering Strategy","authors":"Xiaozhen Yan, Qinghua Luo, Yipeng Yang, Zhuo Yang","doi":"10.1109/phm-qingdao46334.2019.8942921","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942921","url":null,"abstract":"The power system plays a major role in the maintenance of working properly for satellite. As there are many working loads and different working attitudes, the power system has many diverse working patterns. So it is very critical to recognize the working patterns accurately. However, due to the measurement error, environmental interference, and other uncertainty factors, the output voltage of the satellite power system has remarkable uncertainty. If we did not consider the uncertainty and various working patterns, poor recognized result will be generated. For this issue, we proposed a working patterns recognition method for satellite power system based on uncertainty data clustering strategy. In this method, we firstly utilize uncertainty data clustering strategy to modeling working patterns. Then during pattern recognition stage, we calculate the distances between uncertain cluster centers and the measurement data. The experimental results of actual power system data illustrate the validation and feasibility of our proposed method.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127983690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942906
Taisheng Zheng, Lei Song, Bingjun Guo, Haoran Liang, Lili Guo
Fault diagnosis of rolling bearing has always been a vital component in industrial field, and effective fault diagnostic methods can guarantee normal progress of manufacturing production. However, the scarcity of fault samples in practical scenarios is still a vexed question, which will seriously affect the accuracy of data-driven diagnostic methods. For the settlement of above problem, this paper introduces a supervised generation model CGAN (Conditional Generative Adversarial Network) to generate multitudinal fault data, and replaces the real fault data with the generated one to constitute a new dataset to train the classifiers adequately. In order to verify the effectiveness of the proposed method, the experiments are carried out on both artificial dataset and real one. The results show that the generated data of CGAN not only has a high degree of similarity with the real data, but also effectively improves the fault diagnosis accuracy of rolling bearing.
{"title":"An Efficient Method Based on Conditional Generative Adversarial Networks for Imbalanced Fault Diagnosis of Rolling Bearing","authors":"Taisheng Zheng, Lei Song, Bingjun Guo, Haoran Liang, Lili Guo","doi":"10.1109/phm-qingdao46334.2019.8942906","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942906","url":null,"abstract":"Fault diagnosis of rolling bearing has always been a vital component in industrial field, and effective fault diagnostic methods can guarantee normal progress of manufacturing production. However, the scarcity of fault samples in practical scenarios is still a vexed question, which will seriously affect the accuracy of data-driven diagnostic methods. For the settlement of above problem, this paper introduces a supervised generation model CGAN (Conditional Generative Adversarial Network) to generate multitudinal fault data, and replaces the real fault data with the generated one to constitute a new dataset to train the classifiers adequately. In order to verify the effectiveness of the proposed method, the experiments are carried out on both artificial dataset and real one. The results show that the generated data of CGAN not only has a high degree of similarity with the real data, but also effectively improves the fault diagnosis accuracy of rolling bearing.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121465956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942992
Z. Chang, Jingwen He, Peizheng Hao, Zhongqiang Zheng
As a high-risk industry for safety accidents in the construction industry, falling from a height is the most likely one to be occurred. Based on the finite element analysis method, this paper combines the safety net model with the human body model to obtain the human body-net dynamic simulation model. Through simulation, the effects of different factors on the fall protection performance of safety net are analyzed from different aspects. The maximum contact force of the human body model can be used as an evaluation index to reflect the protective performance of the safety net effectively in the research process. The research results show that under the condition of meeting the protection requirements and economy, reducing the height between the safety nets, and choosing a safety net with a larger overall size and a smaller mesh side length can effectively improve the protection performance of the safety net. This study can provide a reference for choosing, arranging and installing the safety net during construction industry.
{"title":"Research on Human Falling Protection Performance Based on Safety Net","authors":"Z. Chang, Jingwen He, Peizheng Hao, Zhongqiang Zheng","doi":"10.1109/phm-qingdao46334.2019.8942992","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942992","url":null,"abstract":"As a high-risk industry for safety accidents in the construction industry, falling from a height is the most likely one to be occurred. Based on the finite element analysis method, this paper combines the safety net model with the human body model to obtain the human body-net dynamic simulation model. Through simulation, the effects of different factors on the fall protection performance of safety net are analyzed from different aspects. The maximum contact force of the human body model can be used as an evaluation index to reflect the protective performance of the safety net effectively in the research process. The research results show that under the condition of meeting the protection requirements and economy, reducing the height between the safety nets, and choosing a safety net with a larger overall size and a smaller mesh side length can effectively improve the protection performance of the safety net. This study can provide a reference for choosing, arranging and installing the safety net during construction industry.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942901
S. Gong, Shengwei Meng, Benkuan Wang, Datong Liu
Unmanned aerial vehicles (UAVs) are widely used in military and civilian applications. The safety of UAV has been paid more and more attention. Prognostic and Health Management (PHM) of UAV can realize the fault prediction during flight and make an appropriate response according to potential faults. Therefore, the safety and reliability of UAV are improved. However, the existing PHM research on UAVs has the following two challenges: a) the number of fault samples in historical flight data is small, and it is impossible to cover multiple fault modes of UAVs to meet the demand of modeling and verification, b) the actual flight verification of the UAV PHM technology cannot be carried out directly through actual flight test. Aiming at the above problems, this paper proposes a fault data generation method based on the Hardware-In-the-Loop Simulation (HILS) technology. We construct a UAV model and its corresponding fault models by analyzing fault features of UAV flight control system. It can simulate the actual faults and generate flight data with multiple fault modes, thereby available data are provided to support PHM research. Besides, PHM algorithms implemented on airborne PHM modules can be verified via this platform in real-time. The experiment results show that the HILS platform has a good performance for fault injection.
{"title":"Hardware-In-the-Loop Simulation of UAV for Fault Injection","authors":"S. Gong, Shengwei Meng, Benkuan Wang, Datong Liu","doi":"10.1109/phm-qingdao46334.2019.8942901","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942901","url":null,"abstract":"Unmanned aerial vehicles (UAVs) are widely used in military and civilian applications. The safety of UAV has been paid more and more attention. Prognostic and Health Management (PHM) of UAV can realize the fault prediction during flight and make an appropriate response according to potential faults. Therefore, the safety and reliability of UAV are improved. However, the existing PHM research on UAVs has the following two challenges: a) the number of fault samples in historical flight data is small, and it is impossible to cover multiple fault modes of UAVs to meet the demand of modeling and verification, b) the actual flight verification of the UAV PHM technology cannot be carried out directly through actual flight test. Aiming at the above problems, this paper proposes a fault data generation method based on the Hardware-In-the-Loop Simulation (HILS) technology. We construct a UAV model and its corresponding fault models by analyzing fault features of UAV flight control system. It can simulate the actual faults and generate flight data with multiple fault modes, thereby available data are provided to support PHM research. Besides, PHM algorithms implemented on airborne PHM modules can be verified via this platform in real-time. The experiment results show that the HILS platform has a good performance for fault injection.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116232715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942854
Kaiye Gao, R. Peng, Di Wu, Qingqing Zhai
Tuberculosis is one of leading threats to human beings’ health. Thus, the screening is essential as it can contribute to the more effective treatment of the patients infected with tuberculosis and the reduction of unintended infection from these patients to others. Adopting the Cox survival model to characterize the infection probability, an optimal screening strategy is proposed to minimize the corresponding total cost. Numerical examples are presented to illustrate the proposed model.
{"title":"Cox Survival Model based Optimal Screening Strategy for Tuberculosis","authors":"Kaiye Gao, R. Peng, Di Wu, Qingqing Zhai","doi":"10.1109/phm-qingdao46334.2019.8942854","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942854","url":null,"abstract":"Tuberculosis is one of leading threats to human beings’ health. Thus, the screening is essential as it can contribute to the more effective treatment of the patients infected with tuberculosis and the reduction of unintended infection from these patients to others. Adopting the Cox survival model to characterize the infection probability, an optimal screening strategy is proposed to minimize the corresponding total cost. Numerical examples are presented to illustrate the proposed model.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114613271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942839
Jia Xie, Jie Liu, Zhangchun Tang, Linfei Ding
Electronic products are the key link to realize automation and intelligence of equipment. As a direct power source to ensure the operation of electronic products, linear voltage regulators are the core components in linear power systems. Once the degradation fails, the whole machine will be paralyzed, resulting in huge economic loss. At present, the degradation failure mode analysis of linear regulators has been studied extensively. However, in some special environments, especially in the radiation environment, degradation analysis and reliability research are very scarce. This paper presents a degradation analysis and reliability evaluation method for the AP1117E linear regulator devices under nuclear radiation environment. This method combines Simulink simulation, Bootstrap resampling and Monte Carlo method to overcome the difficulties of small samples and data shortage. Finally, the comparison with the evaluation results obtained from Bootstrap sampling proves the feasibility of the proposed method.
{"title":"Reliability Evaluation Method of Linear Regulated Power Supply In Nuclear Radiation Environment","authors":"Jia Xie, Jie Liu, Zhangchun Tang, Linfei Ding","doi":"10.1109/phm-qingdao46334.2019.8942839","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942839","url":null,"abstract":"Electronic products are the key link to realize automation and intelligence of equipment. As a direct power source to ensure the operation of electronic products, linear voltage regulators are the core components in linear power systems. Once the degradation fails, the whole machine will be paralyzed, resulting in huge economic loss. At present, the degradation failure mode analysis of linear regulators has been studied extensively. However, in some special environments, especially in the radiation environment, degradation analysis and reliability research are very scarce. This paper presents a degradation analysis and reliability evaluation method for the AP1117E linear regulator devices under nuclear radiation environment. This method combines Simulink simulation, Bootstrap resampling and Monte Carlo method to overcome the difficulties of small samples and data shortage. Finally, the comparison with the evaluation results obtained from Bootstrap sampling proves the feasibility of the proposed method.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127059985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942986
Zhengwei Fan, Xun Chen, Yao Liu, Fangchao Huang, Yu Jiang, Shufeng Zhang, Yashun Wang
Due to the advantages unmatched by traditional two-dimensional packaging technology, three-dimensional packaging technology has gradually attracted more and more attention from researchers and engineers, and is on the way to the market, but its degradation failure mechanism and reliability problems have not been systematically studied and solved. As one of the key structures of three-dimensional packaging, the degradation failure mechanism of through silicon via (TSV) under environmental and working load has not been fully elucidated. Previous studies only focused on the failure of TSV structures under thermal load, while ignoring the vibration load. Therefore, the reliability of the typical TSV structure under the thermal-vibration coupled load was studied in this paper. Based on numerical analysis, the time-history transient analysis of the typical TSV structure with the redistribution layer under thermal-vibration coupled load was performed. The analysis considered the combined effects of thermal load and vibration load and their mutual coupling effects. The maximum equivalent stress, elastic and plastic strain response of the structure were obtained, and the analysis of them was carried out. The effects of random vibration load and different thermal conditions on structural reliability were compared and analyzed, which could provide an important reference for the subsequent research of the degradation mechanism of TSV structure under thermal-vibration coupled load.
{"title":"Reliability Research of TSV Micro Structure under Thermal and Vibration Coupled Load","authors":"Zhengwei Fan, Xun Chen, Yao Liu, Fangchao Huang, Yu Jiang, Shufeng Zhang, Yashun Wang","doi":"10.1109/phm-qingdao46334.2019.8942986","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942986","url":null,"abstract":"Due to the advantages unmatched by traditional two-dimensional packaging technology, three-dimensional packaging technology has gradually attracted more and more attention from researchers and engineers, and is on the way to the market, but its degradation failure mechanism and reliability problems have not been systematically studied and solved. As one of the key structures of three-dimensional packaging, the degradation failure mechanism of through silicon via (TSV) under environmental and working load has not been fully elucidated. Previous studies only focused on the failure of TSV structures under thermal load, while ignoring the vibration load. Therefore, the reliability of the typical TSV structure under the thermal-vibration coupled load was studied in this paper. Based on numerical analysis, the time-history transient analysis of the typical TSV structure with the redistribution layer under thermal-vibration coupled load was performed. The analysis considered the combined effects of thermal load and vibration load and their mutual coupling effects. The maximum equivalent stress, elastic and plastic strain response of the structure were obtained, and the analysis of them was carried out. The effects of random vibration load and different thermal conditions on structural reliability were compared and analyzed, which could provide an important reference for the subsequent research of the degradation mechanism of TSV structure under thermal-vibration coupled load.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125929533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8943045
Chaoge Wang, Hongkun Li, Jiayu Ou, Gangjin Huang
As important transmission device in the entire mechanical system, gearboxes shoulder the responsible for transmitting motion and torque. Gearboxes early fault diagnosis technology can realize early warning of fault, improve the reliability of equipment operation, and avoid major accidents. However, the background noise of the gearbox early fault vibration signal is strong, and the weak fault features are often submerged and the feature information is difficult to extract. Aiming at these problems, a new early fault diagnosis method by combining ensemble local mean decomposition (ELMD) and singular value decomposition (SVD) is proposed. Firstly, the raw gearbox fault vibration signal is broken down into a large number of narrow-band product functions (PF) with the ELMD method. Then, the PF component containing the most abundant fault characteristics is selected as the sensitive feature to be analyzed. The SVD is applied to the sensitive PF component, and the singular value difference spectrum is obtained. The reconstructed signal order is determined in the singular value difference spectrum. Finally, the Hilbert envelope demodulation analysis is performed on the signal which is reconstructed, and the fault feature information in the envelope spectrum is extracted. By comparing with the theoretical value, the fault location of gearbox is determined. The effectiveness and superiority of the proposed method are verified by the actual fault data of the gearbox.
{"title":"Early Weak Fault Diagnosis of Gearbox Based on ELMD and Singular Value Decomposition","authors":"Chaoge Wang, Hongkun Li, Jiayu Ou, Gangjin Huang","doi":"10.1109/phm-qingdao46334.2019.8943045","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8943045","url":null,"abstract":"As important transmission device in the entire mechanical system, gearboxes shoulder the responsible for transmitting motion and torque. Gearboxes early fault diagnosis technology can realize early warning of fault, improve the reliability of equipment operation, and avoid major accidents. However, the background noise of the gearbox early fault vibration signal is strong, and the weak fault features are often submerged and the feature information is difficult to extract. Aiming at these problems, a new early fault diagnosis method by combining ensemble local mean decomposition (ELMD) and singular value decomposition (SVD) is proposed. Firstly, the raw gearbox fault vibration signal is broken down into a large number of narrow-band product functions (PF) with the ELMD method. Then, the PF component containing the most abundant fault characteristics is selected as the sensitive feature to be analyzed. The SVD is applied to the sensitive PF component, and the singular value difference spectrum is obtained. The reconstructed signal order is determined in the singular value difference spectrum. Finally, the Hilbert envelope demodulation analysis is performed on the signal which is reconstructed, and the fault feature information in the envelope spectrum is extracted. By comparing with the theoretical value, the fault location of gearbox is determined. The effectiveness and superiority of the proposed method are verified by the actual fault data of the gearbox.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128144059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8942926
Liandie Zhu, W. Dai, Guixiu Luo, Rui Du
Prognostic and health management (PHM) technology is the use of a large amount of condition monitoring data and information, with the help of all kinds of fault model and artificial intelligence algorithms monitoring, diagnosis, prediction and management of the health status of the equipment technology, by predicting the problems and reliable working life, improving the safety of equipment, minimizing the fault effect, this article in rolling bearing, using Labview software construction time domain analysis program, the analysis of three kinds of condition from different perspective (35Hz12KN/37.5Hz11KN/40HZ10KN)under the rolling bearing, Finally, Matlab software was used for frequency domain analysis and empirical mode decomposition (EMD), and the inherent modal function and vibration signal spectrum were extracted to find out the fault characteristic frequency band, which provided a basis for bearing fault diagnosis under different loads.
{"title":"Fault diagnosis of rolling bearing based on time and frequency domain analysis and EMD","authors":"Liandie Zhu, W. Dai, Guixiu Luo, Rui Du","doi":"10.1109/phm-qingdao46334.2019.8942926","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942926","url":null,"abstract":"Prognostic and health management (PHM) technology is the use of a large amount of condition monitoring data and information, with the help of all kinds of fault model and artificial intelligence algorithms monitoring, diagnosis, prediction and management of the health status of the equipment technology, by predicting the problems and reliable working life, improving the safety of equipment, minimizing the fault effect, this article in rolling bearing, using Labview software construction time domain analysis program, the analysis of three kinds of condition from different perspective (35Hz12KN/37.5Hz11KN/40HZ10KN)under the rolling bearing, Finally, Matlab software was used for frequency domain analysis and empirical mode decomposition (EMD), and the inherent modal function and vibration signal spectrum were extracted to find out the fault characteristic frequency band, which provided a basis for bearing fault diagnosis under different loads.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126030072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/phm-qingdao46334.2019.8943050
Guo Qiang, Xie Jiaqiang, Chen Yong
Aircraft Integrated Health Management (AIHM) is one of typical engineering application of the Integrated Vehicle Health Management (IVHM) technology. It is well accepted that business success is the only and ultimate aim of commercial aircraft and right requirements of the stakeholders are key factors, so it is necessary to generate the right targets and scenarios for AIHM in order to clarify the right stakeholders and establish right requirements and establish unambiguous AIHM functions for the commercial aircraft. In this paper, the author provides the scenarios analysis of AIHM for commercial aircraft on the integrator’s/OEM’s point of view gives a "Centralized-Distributed-Integration-Verification & Optimization" development process according to the System Engineering process through the AIHM life cycles.
{"title":"Scenarios Analysis and Development Strategy for Aircraft Integrated Health Management (AIHM)","authors":"Guo Qiang, Xie Jiaqiang, Chen Yong","doi":"10.1109/phm-qingdao46334.2019.8943050","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8943050","url":null,"abstract":"Aircraft Integrated Health Management (AIHM) is one of typical engineering application of the Integrated Vehicle Health Management (IVHM) technology. It is well accepted that business success is the only and ultimate aim of commercial aircraft and right requirements of the stakeholders are key factors, so it is necessary to generate the right targets and scenarios for AIHM in order to clarify the right stakeholders and establish right requirements and establish unambiguous AIHM functions for the commercial aircraft. In this paper, the author provides the scenarios analysis of AIHM for commercial aircraft on the integrator’s/OEM’s point of view gives a \"Centralized-Distributed-Integration-Verification & Optimization\" development process according to the System Engineering process through the AIHM life cycles.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125100325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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