The fine monitoring technology of the milling tool wear condition is a crucial prerequisite to ensure both the processing quality and the smooth progress of the machining process. In order to fulfil this requirement, this paper constructs an improved UNet model to achieve end-to-end high-precision segmentation of milling tool wear area. The model uses Resnet as the feature extraction framework, and introduces an adaptive activation function to prevent information loss and minimize the activation function cost. Meanwhile, the squeeze-and-excitation module is introduced in the front and back ends of the feature extraction framework to enhance the important features and suppress irrelevant features. The accuracy and adapt ability of the proposed model is confirmed through the experiment of accelerating milling cutter life and three different failure phenomena.
{"title":"An improved UNet model based on adaptive activation function and squeeze-and-excitation module for milling tool wear segmentation","authors":"Canyu Cai, Zhichao You, Changgen Li, Yi Sun, Shichao Li, Hongli Gao","doi":"10.1109/PHM58589.2023.00057","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00057","url":null,"abstract":"The fine monitoring technology of the milling tool wear condition is a crucial prerequisite to ensure both the processing quality and the smooth progress of the machining process. In order to fulfil this requirement, this paper constructs an improved UNet model to achieve end-to-end high-precision segmentation of milling tool wear area. The model uses Resnet as the feature extraction framework, and introduces an adaptive activation function to prevent information loss and minimize the activation function cost. Meanwhile, the squeeze-and-excitation module is introduced in the front and back ends of the feature extraction framework to enhance the important features and suppress irrelevant features. The accuracy and adapt ability of the proposed model is confirmed through the experiment of accelerating milling cutter life and three different failure phenomena.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116663973","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00063
Lijuan Yan, Ziqiang Pu, Zhe Yang, Chuan Li
Fault diagnosis is of great importance for reducing economic losses and ensuring the safety of equipment. As an important part of industrial machine, it is necessary to perform fault diagnosis on bearings. However, in reality, normal data are often more abundant than fault data, making it challenging to recognize faults. To address this issue, the diffusion model with u-net has been introduced, for its excellent feature extraction ability. In this paper, the feature knowledge extracted by diffusion model is sent into one-class support vector machine (OCSVM) for anomaly detection instead of using raw data. Firstly, train the diffusion model with normal data, and then take out the trained encoder in u-net. Next, input test data which includes both normal data and abnormal data into the trained encoder to extract feature knowledge. Finally, train OCSVM with normal data and then send the extracted feature knowledge into trained OCSVM for detection. Compared to directly using raw data for fault diagnosis, the proposed method achieves superior accuracy.
{"title":"Bearing Fault Diagnosis Based on Diffusion Model and One-Class Support Vector Machine","authors":"Lijuan Yan, Ziqiang Pu, Zhe Yang, Chuan Li","doi":"10.1109/PHM58589.2023.00063","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00063","url":null,"abstract":"Fault diagnosis is of great importance for reducing economic losses and ensuring the safety of equipment. As an important part of industrial machine, it is necessary to perform fault diagnosis on bearings. However, in reality, normal data are often more abundant than fault data, making it challenging to recognize faults. To address this issue, the diffusion model with u-net has been introduced, for its excellent feature extraction ability. In this paper, the feature knowledge extracted by diffusion model is sent into one-class support vector machine (OCSVM) for anomaly detection instead of using raw data. Firstly, train the diffusion model with normal data, and then take out the trained encoder in u-net. Next, input test data which includes both normal data and abnormal data into the trained encoder to extract feature knowledge. Finally, train OCSVM with normal data and then send the extracted feature knowledge into trained OCSVM for detection. Compared to directly using raw data for fault diagnosis, the proposed method achieves superior accuracy.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117119652","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00017
Zhonghai Lu, R. Shi, A. Otto, J. Albrecht
The LESIT equation is a well-known model to estimate the lifetime of power electronic devices. However, the equation is a static lifetime model that can estimate the total lifetime but not the dynamic lifetime over time and the Remaining Useful Lifetime (RUL), because the equation is not related to time or cycle count. In the paper, we first introduce the concept of dynamic lifetime, i.e., lifetime over time, and include time into the equation to allow it to calculate dynamic lifetime, and then propose a simple equation to conduct the RUL estimation assuming linear damage accumulation. In our experiments using aggregated aging tests, we show that the proposed RUL estimation method can fully capture the general linear decreasing trend of RUL, and in most cases, it gives very accurate estimates, where the deviation depends on the accuracy of the original LESIT estimation.
{"title":"RUL Estimation for Power Electronic Devices Based on LESIT Equation","authors":"Zhonghai Lu, R. Shi, A. Otto, J. Albrecht","doi":"10.1109/PHM58589.2023.00017","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00017","url":null,"abstract":"The LESIT equation is a well-known model to estimate the lifetime of power electronic devices. However, the equation is a static lifetime model that can estimate the total lifetime but not the dynamic lifetime over time and the Remaining Useful Lifetime (RUL), because the equation is not related to time or cycle count. In the paper, we first introduce the concept of dynamic lifetime, i.e., lifetime over time, and include time into the equation to allow it to calculate dynamic lifetime, and then propose a simple equation to conduct the RUL estimation assuming linear damage accumulation. In our experiments using aggregated aging tests, we show that the proposed RUL estimation method can fully capture the general linear decreasing trend of RUL, and in most cases, it gives very accurate estimates, where the deviation depends on the accuracy of the original LESIT estimation.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121993197","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00035
Yingshun Li, Chengsong Li, Fansen Kong, Shengchong Cao
As one of the main components of aviation equipment, aviation engine is the power source of aviation equipment. If the aeroengine fails, the performance and safety of aviation equipment will be greatly affected. Due to the change of its working state at any time, and the influence of high temperature, large stress, strong vibration, high speed and other related factors, various fault problems may occur. If the situation is serious, it will cause catastrophic flight accidents. Taking aeroengine fault diagnosis technology as the main research object, this paper analyzes the commonly used diagnosis technology and explores the development of diagnosis technology.
{"title":"Analysis of Common Fault Diagnosis Methods for Aeroengine","authors":"Yingshun Li, Chengsong Li, Fansen Kong, Shengchong Cao","doi":"10.1109/PHM58589.2023.00035","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00035","url":null,"abstract":"As one of the main components of aviation equipment, aviation engine is the power source of aviation equipment. If the aeroengine fails, the performance and safety of aviation equipment will be greatly affected. Due to the change of its working state at any time, and the influence of high temperature, large stress, strong vibration, high speed and other related factors, various fault problems may occur. If the situation is serious, it will cause catastrophic flight accidents. Taking aeroengine fault diagnosis technology as the main research object, this paper analyzes the commonly used diagnosis technology and explores the development of diagnosis technology.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747513","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00066
Xiaoqing Tang, Chuan Xi, Lan Wang
In order to deal with the problems of continuous promotion of distribution automation and insufficient technical level of distribution operation and maintenance personnel, a panoramic training platform of distribution automation is designed based on the virtualness and reality. With the help of the three-dimensional real image model, the platform simulates the real distribution scene by virtual simulation and can be connected to the actual pole top switch, Ring Main Unit for more realistic display and training. The platform simulates the master station, secondary equipment, and primary equipment of distribution automation, which can provide comprehensive professional knowledge training for distribution personnel. In addition, the proposed design method is verified by building the actual panoramic training platform of distribution automation, which proves the feasibility of the system and the advantages of low construction cost.
{"title":"Design and implementation of a panoramic training platform for distribution automation based on the combination of virtualness and reality","authors":"Xiaoqing Tang, Chuan Xi, Lan Wang","doi":"10.1109/PHM58589.2023.00066","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00066","url":null,"abstract":"In order to deal with the problems of continuous promotion of distribution automation and insufficient technical level of distribution operation and maintenance personnel, a panoramic training platform of distribution automation is designed based on the virtualness and reality. With the help of the three-dimensional real image model, the platform simulates the real distribution scene by virtual simulation and can be connected to the actual pole top switch, Ring Main Unit for more realistic display and training. The platform simulates the master station, secondary equipment, and primary equipment of distribution automation, which can provide comprehensive professional knowledge training for distribution personnel. In addition, the proposed design method is verified by building the actual panoramic training platform of distribution automation, which proves the feasibility of the system and the advantages of low construction cost.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131088784","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00018
Wang Ke, Pang Songling, Zhu Wangcheng, Sang Lin, Dong Chen
In recent years, the charging equipment of new energy vehicles has developed rapidly. The failure of charging equipment can not only affect the customer experience, but also consume money and power. The data show that temperature is the influence of electronic products accounted for more than half of the factors. To solve this problem, based on FMMEA method, this paper analyzes the system principle of charging equipment, the thermal fatigue failure mechanism of charging module and the corresponding Coffin-Manson(C-M) failure physical model. According to the actual working condition of the charging equipment, the thermal stress simulation is carried out based on ANSYS Icepak. Combined with the simulation results and the CM failure physical model, the thermal fatigue failure analysis of the charging equipment was carried out. Finally, the failure analysis results are fitted to a function based on Weibull distribution and maximum likelihood estimation. The thermal reliability of the charging module was analyzed and evaluated based on the fitted function. The proposed method supports reduction of the operation and maintenance cost of the charging equipment and improving the reliability of the charging equipment.
{"title":"Thermal fatigue reliability analysis of charging module based on Coffin-Manson model and Monte Carlo","authors":"Wang Ke, Pang Songling, Zhu Wangcheng, Sang Lin, Dong Chen","doi":"10.1109/PHM58589.2023.00018","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00018","url":null,"abstract":"In recent years, the charging equipment of new energy vehicles has developed rapidly. The failure of charging equipment can not only affect the customer experience, but also consume money and power. The data show that temperature is the influence of electronic products accounted for more than half of the factors. To solve this problem, based on FMMEA method, this paper analyzes the system principle of charging equipment, the thermal fatigue failure mechanism of charging module and the corresponding Coffin-Manson(C-M) failure physical model. According to the actual working condition of the charging equipment, the thermal stress simulation is carried out based on ANSYS Icepak. Combined with the simulation results and the CM failure physical model, the thermal fatigue failure analysis of the charging equipment was carried out. Finally, the failure analysis results are fitted to a function based on Weibull distribution and maximum likelihood estimation. The thermal reliability of the charging module was analyzed and evaluated based on the fitted function. The proposed method supports reduction of the operation and maintenance cost of the charging equipment and improving the reliability of the charging equipment.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121924115","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00067
Zhaozhi Wu, N. Zhang, Jinbao Yao, V. Poliakov
With the high-speed railway’s increasing train speeds, the frequency of track irregularity excitation is heightened. This adversely affects the train stability, which is a top priority for providing a high-quality ride experience. Additionally, uncertainty regarding train stability is attributed to the stochastic feature of track irregularity. Therefore, it is essential to use the stochastic method to analyze the train stability and its influential factors. This analysis will theoretically support the stabilization of the train. To achieve this, the train motion equation is formulated based on rigid body dynamics. The precise Sperling index can be derived by Pseudo excitation method. The empirical monitoring is conducted to validate the predicted result. Pseudo excitation is proved to be feasible. Routine maintenance of railway and suspension system and keeping a optimal speed interval will stabilize the train car body.
{"title":"Prediction of High-speed Train Vibratory Stability Via Pseudo Excitation Method","authors":"Zhaozhi Wu, N. Zhang, Jinbao Yao, V. Poliakov","doi":"10.1109/PHM58589.2023.00067","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00067","url":null,"abstract":"With the high-speed railway’s increasing train speeds, the frequency of track irregularity excitation is heightened. This adversely affects the train stability, which is a top priority for providing a high-quality ride experience. Additionally, uncertainty regarding train stability is attributed to the stochastic feature of track irregularity. Therefore, it is essential to use the stochastic method to analyze the train stability and its influential factors. This analysis will theoretically support the stabilization of the train. To achieve this, the train motion equation is formulated based on rigid body dynamics. The precise Sperling index can be derived by Pseudo excitation method. The empirical monitoring is conducted to validate the predicted result. Pseudo excitation is proved to be feasible. Routine maintenance of railway and suspension system and keeping a optimal speed interval will stabilize the train car body.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131758045","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00048
Yingshun Li, Shiming Liu, A. Yu, De-biao Wang
In recent years, under the background of the times, countries have continuously improved their national defense construction and paid more and more attention to armored vehicles such as tanks, in which the fire control system controlling tank weapons is particularly important. The performance of the fire control system will directly affect the tank’s land combat capability. Due to the complex internal structure of the fire control system, it is easy to fail in combat. Once the failure occurs, it may cause combat failure. For the health status of the fire control system, if it can be predicted in advance and fault detection and processing can greatly improve the battlefield survival and combat capability. The technologies used in modern fire control systems are more or less similar. This paper will summarize the fault diagnosis and health prediction methods of fire control systems.
{"title":"Summarization of Fire Control System Fault Detection and Health Prediction Methods","authors":"Yingshun Li, Shiming Liu, A. Yu, De-biao Wang","doi":"10.1109/PHM58589.2023.00048","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00048","url":null,"abstract":"In recent years, under the background of the times, countries have continuously improved their national defense construction and paid more and more attention to armored vehicles such as tanks, in which the fire control system controlling tank weapons is particularly important. The performance of the fire control system will directly affect the tank’s land combat capability. Due to the complex internal structure of the fire control system, it is easy to fail in combat. Once the failure occurs, it may cause combat failure. For the health status of the fire control system, if it can be predicted in advance and fault detection and processing can greatly improve the battlefield survival and combat capability. The technologies used in modern fire control systems are more or less similar. This paper will summarize the fault diagnosis and health prediction methods of fire control systems.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123158717","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00040
Dongyi Li, Z. Dai, Peishuo Guan, Zhaojun Lu
Zinc oxide arrester, aka metal oxide arrester (MOA), is widely used to protect electrical equipment in large hydroelectric power stations. This article takes the Yangfanggou Hydroelectric Power Station as an example to expound on the mathematical model of the zinc oxide arrester at the station. A simulation circuit is then established to simulate and analyze the leakage current of the zinc oxide arrester under lightning strike and normal voltage conditions. By analyzing and comparing the results, the relationship between the leakage current and voltage harmonic and phase is obtained, providing guidance and assistance in judging the voltage quality of the Yangfanggou Hydroelectric Power Station.
{"title":"MOA analysis of large hydropower station","authors":"Dongyi Li, Z. Dai, Peishuo Guan, Zhaojun Lu","doi":"10.1109/PHM58589.2023.00040","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00040","url":null,"abstract":"Zinc oxide arrester, aka metal oxide arrester (MOA), is widely used to protect electrical equipment in large hydroelectric power stations. This article takes the Yangfanggou Hydroelectric Power Station as an example to expound on the mathematical model of the zinc oxide arrester at the station. A simulation circuit is then established to simulate and analyze the leakage current of the zinc oxide arrester under lightning strike and normal voltage conditions. By analyzing and comparing the results, the relationship between the leakage current and voltage harmonic and phase is obtained, providing guidance and assistance in judging the voltage quality of the Yangfanggou Hydroelectric Power Station.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114070830","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 : 2023-05-01DOI: 10.1109/PHM58589.2023.00058
Jingxuan Cheng, Hongfu Zuo, Hang Fei, Yue Su, Zuocheng Zhou, Zhexun Yuan
Aero-engine blades are one of the most important components of an aero-engine and reducing the cost of repair and maintenance of aero-engine blades is of great economic importance to the aviation industry. Borescope Technology is the most used NDT method in aero-engine overhaul, but it relies too much on the experience of maintenance personnel. We propose to combine 3D reconstruction with Borescope Technology, based on the borescope image, using monocular stereo vision principle, using SIFT algorithm for feature point detection and feature point matching by improved FLANN algorithm, using incremental SFM algorithm for sparse reconstruction of the damaged blade sequence, using PMVS method for dense reconstruction, Poisson reconstruction to enhance the reconstruction effect, and finally get The three-dimensional reconstruction model of blade damage, accurate detection of blade damage, the reconstructed three-dimensional model is the basis of aero-engine overhaul intelligence.
{"title":"Monocular vision-based 3D reconstruction of aero-engine blade damage","authors":"Jingxuan Cheng, Hongfu Zuo, Hang Fei, Yue Su, Zuocheng Zhou, Zhexun Yuan","doi":"10.1109/PHM58589.2023.00058","DOIUrl":"https://doi.org/10.1109/PHM58589.2023.00058","url":null,"abstract":"Aero-engine blades are one of the most important components of an aero-engine and reducing the cost of repair and maintenance of aero-engine blades is of great economic importance to the aviation industry. Borescope Technology is the most used NDT method in aero-engine overhaul, but it relies too much on the experience of maintenance personnel. We propose to combine 3D reconstruction with Borescope Technology, based on the borescope image, using monocular stereo vision principle, using SIFT algorithm for feature point detection and feature point matching by improved FLANN algorithm, using incremental SFM algorithm for sparse reconstruction of the damaged blade sequence, using PMVS method for dense reconstruction, Poisson reconstruction to enhance the reconstruction effect, and finally get The three-dimensional reconstruction model of blade damage, accurate detection of blade damage, the reconstructed three-dimensional model is the basis of aero-engine overhaul intelligence.","PeriodicalId":196601,"journal":{"name":"2023 Prognostics and Health Management Conference (PHM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116597459","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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