2016 Prognostics and System Health Management Conference (PHM-Chengdu)最新文献_第4页

Study on vibration characteristics of a locomotive with gear tooth root crack by simulation 通过仿真研究了机车齿轮齿根裂纹的振动特性

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819813

Zaigang Chen, Jie Zhang, Zichao Wang, Zhang Tao, Zhifang Zhu

{"title":"Study on vibration characteristics of a locomotive with gear tooth root crack by simulation","authors":"Zaigang Chen, Jie Zhang, Zichao Wang, Zhang Tao, Zhifang Zhu","doi":"10.1109/PHM.2016.7819813","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819813","url":null,"abstract":"Gear transmission is a key element in locomotives where it delivers the traction or braking powers between the motor and the wheelset. Its dynamic performance and service reliability have a direct effect on the performance of the locomotive. Gear failures, such as tooth crack and the induced tooth breakage, are likely to deteriorate the dynamic performance of the locomotive or make the train out of control, or even cause disastrous derailment. Fortunately, these failures will also vary the vibration responses of the locomotive, which enables the possibility of vibration-based fault detection for locomotives. In this study, vibration features of a locomotive when a tooth root crack fault is in presence in one of its gear transmissions. Here, the results for a healthy locomotive and a gear tooth cracked locomotive are compared to reveal the fault vibration features. Also, effect of the rail geometric irregularity excitation is also considered. It is proven that the rail geometric irregularity could slur frequency structure which brings a challenge to the fault feature extraction. Application of the time synchronous averaging (TSA) technique is proven to be effective for solving this problem.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040950","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

Modeling of NMOS transistors for simulation of atmospheric neutron environment and SEEs on SRAM-based FPGAs 基于sram的fpga模拟大气中子环境和see的NMOS晶体管建模

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819952

Cheng Gao, Yuanyuan Xiong, Jiaoying Huang

引用次数: 0

Reassigned wavelet scalogram for gear fault detection under nonstationary operational conditions 非平稳工况下齿轮故障检测的小波变换

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819883

Xiaowang Chen, Zhipeng Feng, Chuan Zhao

{"title":"Reassigned wavelet scalogram for gear fault detection under nonstationary operational conditions","authors":"Xiaowang Chen, Zhipeng Feng, Chuan Zhao","doi":"10.1109/PHM.2016.7819883","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819883","url":null,"abstract":"Gear transmission systems have extensive use in wind turbines, helicopters and heavy trucks, and their fault detection is of vital importance for ensuring industrial safety. However, they often run under non stationary conditions, which accelerate the mechanical deterioration and meanwhile result in time-varying characteristics which can barely be identified through time or frequency domain analysis. Time-frequency analysis is often utilized to provide intuitive presentation of time and frequency information concurrently, yet limited time-frequency resolution and cross-term/inner interferences hinder the accurate fault identification by conventional linear or bilinear methods. In this paper the reassigned wavelet scalogram, which has merits of fine time-frequency resolution and cross-term free nature, is applied to reveal potential gear fault under non stationary conditions. Its advantage over traditional time-frequency representations is demonstrated using a numerical simulated gearbox vibration signal, and results of lab experimental evaluation indicate that real-world gear fault is successfully diagnosed.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228464","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 cross-layer MAC protocol of embedded sensor network for PHM PHM嵌入式传感器网络的跨层MAC协议

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819926

Dile Chen, Shengchun Huang, Rui Zhang, Jibo Wei, Zuhui Wang

{"title":"A cross-layer MAC protocol of embedded sensor network for PHM","authors":"Dile Chen, Shengchun Huang, Rui Zhang, Jibo Wei, Zuhui Wang","doi":"10.1109/PHM.2016.7819926","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819926","url":null,"abstract":"Prognostics and System Health Management (PHM) has a significant influence on improving reliability and security of complex equipment, while embedded information perception and test are a major foundation for the realization of PHM. This paper proposed a novel media access control (MAC) protocol for massive wireless sensor networks which are served by the distributed antenna system (DAS). First, the sensor nodes around each remote antenna unit (RAU) of DAS are grouped together and assigned IDs to form a virtual token ring according to the one-hop neighborhood relationship between sensor nodes. An ID allocation algorithm is designed to reduce the size of a token ring, which results in the throughput improvement. And then, each sensor node transmits one-by-one according to the virtual token ring to eliminate potential collision. The performance of proposed MAC protocol is verified through the OPNET simulation. The simulation results reveal that the proposed MAC protocol achieves higher throughput than traditional distributed coordination function (DCF) and point coordination function (PCF) under heavy traffic.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127503428","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

Weighted bagging gaussion process regression to predict remaining useful life of electro-mechanical actuator 加权装袋高斯过程回归预测机电致动器剩余使用寿命

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819795

Yujie Zhang, Xiyuan Peng, Yu Peng, Jingyue Pang, Datong Liu

{"title":"Weighted bagging gaussion process regression to predict remaining useful life of electro-mechanical actuator","authors":"Yujie Zhang, Xiyuan Peng, Yu Peng, Jingyue Pang, Datong Liu","doi":"10.1109/PHM.2016.7819795","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819795","url":null,"abstract":"Electro-Mechanical Actuator (EMA) is one of the key components of next generation aircraft. In order to ensure the safety of aircraft, it is critical to predict the remaining useful life (RUL) of EMA. And the RUL prediction can be implemented by utilizing Gaussian Process Regression (GPR). However, the GPR algorithm is extremely complex. Hence, a weighted bagging Gaussian Process Regression (WB-GPR) algorithm is presented in this article. To be specific, the significance of RUL prediction of EMA is analyzed, and the variable which can represent the degradation progress of EMA failure is selected. Then the framework to predict the RUL of EMA is realized, with the proposed WB-GPR. Finally the performance of RUL prediction based on WB-GPR is validated by utilizing the sensor data sets from National Aeronautics and Space Administration (NASA) Ames Research Center. Furthermore, the comparison of RUL prediction with GPR and bagging GPR has been achieved. Experimental results demonstrate that the WB-GPR is effective in the RUL prediction with low error rate and standard deviation.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129976574","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: 6

Bayesian optimal design of sequential stress accelerated degradation testing 顺序应力加速退化试验的贝叶斯优化设计

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819799

Xiaoyang Li, Yuqing Hu, Renqing Li, Le Liu

{"title":"Bayesian optimal design of sequential stress accelerated degradation testing","authors":"Xiaoyang Li, Yuqing Hu, Renqing Li, Le Liu","doi":"10.1109/PHM.2016.7819799","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819799","url":null,"abstract":"Accelerated degradation testing (ADT) is commonly used to obtain degradation data under the hasher than normal usage conditions, and to assess lifetime and reliability for high reliable and long life products in a short time. The optimal design for ADT is to propose the test plan based on the performance degradation process with a reasonable optimal criteria and the constraints of test resources. Both the traditional ADT optimal design and Bayesian ADT optimal design are similar that the historical data is needed to determine the initial values or the prior distributions of the model parameters. However, it may be inaccurate to estimate the parameter values or the prior distributions only according to the historical information, which will result in large deviations between the parameter values or the prior distributions and the actual ones. Therefore, the optimal plan could not meet the statistical accuracy. In this paper, we propose a Bayesian ADT dynamic optimal design method with sequential stress. The degradation information under the most recent stress level will be treated as the prior of the next stress level. Under the assumption of Wiener process, an optimal model with the objective of quadratic loss function is built with the decision variables, e.g. stress levels and inspection times. Finally, the simulation study is introduced to illustrate the proposed method, and the results show that Bayesian ADT optimal design with sequential stress can adjust the test plan dynamically to improve the test efficiency.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126968893","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

System reliability analysis method based on functional model 基于功能模型的系统可靠性分析方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819807

Tao Wang, Ruping Wang, Hui Zhang, Haoping Yan

引用次数: 0

Classification of bearing data based on deep belief networks 基于深度信念网络的轴承数据分类

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819784

Ran Zhang, Lifeng Wu, Xiaohui Fu, Beibei Yao

引用次数: 3

Rolling bearing fault diagnosis based on Deep Boltzmann machines 基于深度玻尔兹曼机的滚动轴承故障诊断

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819840

Shengcai Deng, Zhiwei Cheng, Chuan Li, Xingyan Yao, Zhiqiang Chen, Réne-Vinicio Sánchez

引用次数: 15

A comparison between extreme learning machine and artificial neural network for remaining useful life prediction 极限学习机与人工神经网络在剩余使用寿命预测中的比较

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819794

Zhe Yang, P. Baraldi, E. Zio

引用次数: 29