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Stress Reliability Sensitivity Analysis for A Flexibility Rotor 柔性转子应力可靠性灵敏度分析
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9281012
Li-sha Zhu, Yu-Hang Wang, Zikun Lin, Haonan Chen, Guo Yao, Wenzhu Wang
{"title":"Stress Reliability Sensitivity Analysis for A Flexibility Rotor","authors":"Li-sha Zhu, Yu-Hang Wang, Zikun Lin, Haonan Chen, Guo Yao, Wenzhu Wang","doi":"10.1109/PHM-Shanghai49105.2020.9281012","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9281012","url":null,"abstract":"Taking a typical flexible rotor bearing system as a model, the strength reliability and reliability-based sensitivity of the rotor system are estimated when the structural parameters and working conditions are random. Based on virtual prototyping technology, the nonlinear dynamic analysis of rigid flexible hybrid rotor system is carried out. Then, combining process integration software and neural network technology, the nonlinear mapping relationship between structural dynamic response and basic random variables is obtained, and the stress-strength interference reliability model of rotor system is proposed. Finally, the reliability and reliability sensitivity of the rotor system are analyzed when the basic random variables are arbitrarily distributed by using matrix differential technique, perturbation method and Edge-worth series method.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127124653","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}
引用次数: 1
Reliability assessment of few-failure data and zero-failure data for wheel axle of railway wagon 铁路货车轮轴少失效数据与零失效数据的可靠性评估
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280949
Qingyun Cao, Qi Li, Zengqiang Jiang, M. E
{"title":"Reliability assessment of few-failure data and zero-failure data for wheel axle of railway wagon","authors":"Qingyun Cao, Qi Li, Zengqiang Jiang, M. E","doi":"10.1109/PHM-Shanghai49105.2020.9280949","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280949","url":null,"abstract":"In order to evaluate the reliability of long-life high-reliability products, this paper proposed a framework for few-failure or even zero-failure lifetime data based on Bayesian method and Bootstrap resampling. The settings of hyperparameters in the prior distribution such as distribution and domain selection were detailed studied based on the E-Bayes method. Sensitivity analysis of these settings as well as the effects of censored time and sample size was carried out. The parametric Bootstrap resampling method is used to estimate the parameter interval. Simulation study and case study were employed to verify the feasibility and reliability of the proposed framework.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526267","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}
引用次数: 0
Resilience Enhancement for Multi-State Interdependent Infrastructure Networks 多状态相互依赖基础设施网络的弹性增强
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280979
Kai Wang, Zhaoping Xu, Yu Liu
{"title":"Resilience Enhancement for Multi-State Interdependent Infrastructure Networks","authors":"Kai Wang, Zhaoping Xu, Yu Liu","doi":"10.1109/PHM-Shanghai49105.2020.9280979","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280979","url":null,"abstract":"Reducing vulnerability and enhancing resilience of infrastructure networks subject to uncertain disruptions is a challenge as these networks become intensively interconnected and interdependent. This paper devotes to addressing the problem of preparedness planning of interdependent infrastructure networks. The multi-state natures of network components are taken into account to characterize the interactions between infrastructure networks. A novel two-stage stochastic programming model which is able to cope with the uncertainty associated with disruptions is proposed to effectively enhance resilience under limited budget. The proposed model is applied to an illustrative network composed of interdependent power-water distribution networks, and the results show that (i) the overall resilience of interdependent power-water distribution networks is greatly enhanced under different types disruptive events. (ii) the proposed two-stage stochastic programming model is a general model framework that is applicable to a diversity of multi-state interdependent infrastructure networks.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121893073","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}
引用次数: 1
Application Research of Highly Accelerated Life Test on Civil Aircraft Airborne Equipment 高加速寿命试验在民用飞机机载设备上的应用研究
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280918
P. Lu, Hualei Lu
{"title":"Application Research of Highly Accelerated Life Test on Civil Aircraft Airborne Equipment","authors":"P. Lu, Hualei Lu","doi":"10.1109/PHM-Shanghai49105.2020.9280918","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280918","url":null,"abstract":"The reliability test of civil aircraft airborne equipment is an important link in the implementation of reliability. The product adapts to the predetermined environment and proves that have meet the reliability requirement, it is needed to confirm or evaluate through the reliability test. The highly accelerated life test (HALT) can quickly motivates design and process defects inside the product so that the design fault can be detected. Through this test, the fault corrective measures can be taken to improve the design, thereby making the product more robust. The HALT plays a vital role in improving the reliability of civil aircraft airborne equipment. This paper comprehensively analyzes and evaluates the application of HALT in airborne equipment from the aspects of HALT purpose, objects, procedures, data processing, fault handling measures, etc., based on the characteristics of civil aircraft, and provides suggestions on the selection of the test stress, the test process, etc.. This work can significantly improve the reliability level of the airborne equipment and ensure the normal operation and commercial competitiveness of the aircraft.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"53 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124649366","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}
引用次数: 0
A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot 锂离子电池强制风冷系统无温度超调温度控制新策略
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9281008
Chao Lyu, Shihuai Zhu, Shuang Zhang, Yankong Song, Lixin Wang, Xinfeng Zhao
{"title":"A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot","authors":"Chao Lyu, Shihuai Zhu, Shuang Zhang, Yankong Song, Lixin Wang, Xinfeng Zhao","doi":"10.1109/PHM-Shanghai49105.2020.9281008","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9281008","url":null,"abstract":"The lithium-ion battery (LIB) system is a complex distributed parameter system with strong nonlinearity. The temperature change of the LIB system has a strong hysteresis. If the measured temperature is just used for feedback control, the temperature overshoot of the system is inevitable. In this paper, a temperature control strategy of the forced air-cooling system is proposed based on the principle of model predictive control (MPC) and particle swarm optimization (PSO) combining with the reduced order thermal model (ROTM). Furthermore, the simulation experiment was set up to study the performance of the above temperature control strategy. The simulation result shows that the temperature control strategy proposed in this paper can keep the LIB system in a suitable temperature range under New European Driving Cycle (NEDC) test conditions, and the temperature overshoot can be suppressed effectively comparing with the PID control strategy.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129188657","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}
引用次数: 0
The Improvement of Remaining Useful Life Prediction for Aero-engines by Injecting Noise 喷射噪声对航空发动机剩余使用寿命预测的改进
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280966
Junxuan Tang, Nailong Wu, Lei Xiao, Jingsong Zhao
{"title":"The Improvement of Remaining Useful Life Prediction for Aero-engines by Injecting Noise","authors":"Junxuan Tang, Nailong Wu, Lei Xiao, Jingsong Zhao","doi":"10.1109/PHM-Shanghai49105.2020.9280966","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280966","url":null,"abstract":"The remaining useful life (RUL) prediction methods for rotating machines have been extensively studied in recent decades. In most of the existing RUL prediction methods, noise is always regarded as the disgusting disturbance and tried to remove from the observation data. In contrast, noise can be beneficial if properly used. This paper proposes a new RUL prediction method which is boosted by the injection of intentionally-added noise into a long short-term memory (LSTM) neural network. The intentionally-added noise satisfies the noisy-expectation maximization (EM) positivity condition, and boosts the RUL prediction results. Therefore, the proposed method is referred as a noise-boosted RUL prediction method. This paper is a preliminary attempt when predicting RUL for aero-engines by using intentionally-added noise. The popular C-MAPSS lifetime dataset for aero-engines is used to validate the effectiveness of the new method. The prediction results show the improvement of prediction accuracy by the injection of intentionally-added noise.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627447","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}
引用次数: 2
A Hyper-ellipsoidal Support Vector Data Description Incremental Learning Method for Bearing Fault Diagnosis 轴承故障诊断的超椭球支持向量数据描述增量学习方法
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280963
Minglei Lu, S. Qiu, Xin Chen, Chunfeng Kong, Yingmao Cheng
{"title":"A Hyper-ellipsoidal Support Vector Data Description Incremental Learning Method for Bearing Fault Diagnosis","authors":"Minglei Lu, S. Qiu, Xin Chen, Chunfeng Kong, Yingmao Cheng","doi":"10.1109/PHM-Shanghai49105.2020.9280963","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280963","url":null,"abstract":"This paper proposes a novel method based on hyper-ellipsoidal Support Vector Data Description (SVDD) for bearing fault diagnosis. First, features of bearing fault data are selected based on integrated indicators to solve the overlapping problems of features from different bearing faults. Second, considering that multiple fault data of bearings in practical applications cannot be obtained at one time in a short time, the incremental learning model is established by creating high-dimensional spatial feature hyper-ellipsoids with the concept of SVDD. Finally, we conducted experiments by two laboratory data sets to validate the effectiveness of the proposed method.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683663","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}
引用次数: 0
Research on the future state evaluation of satellite functional components 卫星功能部件未来状态评估研究
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280990
Zhu Chang-wen, Zhou Jun, Dang Jianchen
{"title":"Research on the future state evaluation of satellite functional components","authors":"Zhu Chang-wen, Zhou Jun, Dang Jianchen","doi":"10.1109/PHM-Shanghai49105.2020.9280990","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280990","url":null,"abstract":"In this paper, a satellite health assessment model based on prediction data is proposed to research on the health assessm ent of the components of the satellite department in the future. Firstly select the temperature, voltage, and current telemetry para meters that can reflect the health of the component, use the CEE MDAN-PSO-ELM model to make single-step, three-step, and five -step predictions respectively, and then integrate the score which from the non-dimensional dimensionless model and the entropy weight method to get “health”, finally use the telemetry data fro m satellite to experiment. The experimental results show that single-step, three-step and five-step predictions can all accurately pr edict the change trend of the “health” of the future state assessme nt of the component, and the mean square error (MSE) index of s ingle-step prediction is only 0.0049, which can evaluate the future status of the components (Abstract)","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125251538","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}
引用次数: 0
Machinery Fault Diagnosis Using Recurrent Neural Network: A Review 基于递归神经网络的机械故障诊断研究进展
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280936
Tong Xu, Huan Wang, Zhiliang Liu, Yijia Hao
{"title":"Machinery Fault Diagnosis Using Recurrent Neural Network: A Review","authors":"Tong Xu, Huan Wang, Zhiliang Liu, Yijia Hao","doi":"10.1109/PHM-Shanghai49105.2020.9280936","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280936","url":null,"abstract":"Fault diagnosis is a kind of process to discover whether the continuous running mechanical system and equipment have faults using various inspection and test methods. It is widely applied in industrial engineering and has drew much attention recently since people need higher reliability and safety of machines to complete complex tasks, and the cost of repairment and maintenance is also high. While traditional fault diagnosis methods consume a lot of time and energy, those methods used deep learning which has excellent performance in feature extraction and pattern recognition become extremely important, thus a quantity of research work has been concluded in different networks of deep learning in this paper, a comprehensive and systemic review of machinery fault diagnosis using various forms of Recurrent Neural Network (RNN) and their combinations with other networks is introduced. First, some theoretical backgrounds of RNN are presented following its development, from RNN to Long Short-Term Memory (LSTM), bidirectional forms and Gate Recurrent Unit (GRU). Then, detailed literature survey of these networks and some combinations of RNN with Convolutional Neural Network (CNN) and Support Vector Machine (SVM) in practical applications are given. Finally, some limitations and discussions of these networks are discussed.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134355385","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}
引用次数: 1
A review on testability verification test and fault injection technology 可测性验证测试与故障注入技术综述
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) Pub Date : 2020-10-16 DOI: 10.1109/PHM-Shanghai49105.2020.9280932
Weiwei Cui, Weikang Xue, Lianfeng Li, Xiao Hu
{"title":"A review on testability verification test and fault injection technology","authors":"Weiwei Cui, Weikang Xue, Lianfeng Li, Xiao Hu","doi":"10.1109/PHM-Shanghai49105.2020.9280932","DOIUrl":"https://doi.org/10.1109/PHM-Shanghai49105.2020.9280932","url":null,"abstract":"With the large-scale application of electronic equipment, the reliability and safety of the system have become the focus of attention. Testability is a design characteristic to maintain reliability, which provides a timely and accurate fault diagnosis capacity. The testability verification test (TVT) is a valid technique to validate the fault diagnosis capacity of electronic equipment. In order to clarify the development tendency and improve the efficiency of TVT, we firstly discuss the definition of testability and analyze the development process of TVT. Then, we study the related approaches of TVT and give a review on test scheme and fault injection, in which we introduce the principles and the engineering experience. Finally, based on the existing researches, we give several suggestions on TVT improvement.","PeriodicalId":166717,"journal":{"name":"2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124338608","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}
引用次数: 1
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