2019 Prognostics and System Health Management Conference (PHM-Qingdao)最新文献

A Modeling and Calculating Method for Mission Reliability of Multiple Use Schemes System 多用途方案系统任务可靠性建模与计算方法

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942875

Zhang Yang, Xu Dong, Cheng Hongwei

引用次数: 0

Investigation of Feature Effectiveness in Polymer Electrolyte Membrane Fuel Cell Fault Diagnosis 聚合物电解质膜燃料电池故障诊断特征有效性研究

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942975

Weitao Pan, Y. Y. A. Abuker, L. Mao

引用次数: 2

A Virtual Model To Predict The Influence Of Indexing Errors On The Transmission Error Of Spur Gears 分度误差对直齿齿轮传动误差影响的虚拟预测模型

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942832

Chongfeng Zhao, Jinglin Wang, Yongzhi Qu, Liu Hong, Zidong Liu, Yuegang Tan

{"title":"A Virtual Model To Predict The Influence Of Indexing Errors On The Transmission Error Of Spur Gears","authors":"Chongfeng Zhao, Jinglin Wang, Yongzhi Qu, Liu Hong, Zidong Liu, Yuegang Tan","doi":"10.1109/phm-qingdao46334.2019.8942832","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942832","url":null,"abstract":"The transmission error of a gear pair is one of the main excitations that cause the vibration and noise problems of gearboxes. The root causes of the transmission error include the gear manufacturing errors, the installing errors and the elastic deformation of meshing gear teeth. Although the transmission error have a significant influence on the dynamics of gear pairs, most of the previous studies just employ simplified mathematical functions to qualitatively represent its periodicity. Only recently, the experimental study was conducted to investigate the detailed properties of the transmission errors in quasi-static conditions, which requires strong expertise and costly precision equipment. Therefore, to give a quick evaluation of the properties of transmission error, this paper proposes a virtual model to numerically predict the transmission error of a spur gear pair in the static condition. The model is capable to simulate the transmission error that is caused by typical gear manufacturing and installing errors like the indexing errors and run-out errors. The simulated transmission errors agree with the experimental phenomenon observed in previous published works. The proposed virtual model has the potential to assist in the in-depth analysis and modeling of dynamic behavior of gear transmissions.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"15 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":"125511518","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

Degradation Trend Prediction of Linear Regulator Based on SVR Under Nuclear Radiation Stress 基于SVR的线性调节器在核辐射胁迫下的退化趋势预测

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942997

Hongwei Qiao, Li Zhan, Jie Liu, Lin Zhang, Zhangchun Tang, Jia Xie

引用次数: 0

A Novel Fast-EIS Measuring Method And Implementation for Lithium-ion Batteries 一种新型的锂离子电池快速eis测量方法及实现

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942995

P. Lu, Ming Li, Liqiang Zhang, Liqin Zhou

引用次数: 5

Study on the oil particle contamination forecasting Using LSTM network 基于LSTM网络的油颗粒污染预测研究

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942869

Liangliang Zhai, Kun Yang, Biao Hu, Shuai Li

引用次数: 0

A Cross Domain Feature Extraction Method for Bearing Fault diagnosis based on Balanced Distribution Adaptation 基于平衡分布自适应的轴承故障诊断跨域特征提取方法

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942996

Jiawei Gu, Yanxue Wang

{"title":"A Cross Domain Feature Extraction Method for Bearing Fault diagnosis based on Balanced Distribution Adaptation","authors":"Jiawei Gu, Yanxue Wang","doi":"10.1109/phm-qingdao46334.2019.8942996","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8942996","url":null,"abstract":"Traditional intelligent fault diagnosis techniques for rotating machines have two limitations: 1) Big data with fault information is not available in some cases; 2) The training and testing data are often drawn under discrepant distribution. Thus, transfer component analysis (TCA) has been designed to reduce the distance of marginal distribution between domains. The joint distribution adaptation (JDA) was proposed to simultaneously reduced the difference between the conditional distribution and marginal distribution in source or target domains. However, these two distributions are often treated equally in these existing methods, which will lead to poor performance in practical applications. Therefore, a cross-domain feature extraction method based on balanced distribution adaptation algorithm(BDA) has been proposed, which can adaptively utilize the importance of difference between marginal distribution and conditional distribution. It should be noted that several existing cross domain feature extraction methods can be treated as special cases of BDA. As a new method in the field of transfer learning, BDA is an effective cross-domain feature extraction method. The validity of the BDA algorithm has been successfully evaluated in the actual data set in this paper.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"13 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":"129499953","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: 4

Degradation Modeling of Digital Multimeter with Multiple-performance Indicators in Multi-stress Dynamic Marine Environment Based on Vine Copula 基于Vine Copula的多应力动态海洋环境下多性能指标数字万用表退化建模

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8943021

Zixuan Yu, Tingting Huang, Xin Wu, Kun Zhou

{"title":"Degradation Modeling of Digital Multimeter with Multiple-performance Indicators in Multi-stress Dynamic Marine Environment Based on Vine Copula","authors":"Zixuan Yu, Tingting Huang, Xin Wu, Kun Zhou","doi":"10.1109/phm-qingdao46334.2019.8943021","DOIUrl":"https://doi.org/10.1109/phm-qingdao46334.2019.8943021","url":null,"abstract":"A digital multimeter working in the marine environment suffers from complex environmental stresses of time-varying temperature, relative humidity and salinity. It is used to measure five indicators of Resistance (R), Direct Current Voltage (DCV), Alternating Current Voltage (ACV), Direct Current (DC) and Alternating Current (AC), and there is an interactive relationship between the five indicators due to the complex structure among the components of multimeter.Considering the measurement errors data of five indicators of digital multimeter as the degradation signal, this paper establishes a degradation model to predict the reliability of each single indicator considering the time-varying environmental stresses based on Brownian motion. The typical D-vine copula is utilized to describe the correlations of multiple performance indicators, the parameters of the optimal D-vine model can be estimated by maximum likelihood estimation. In this paper, lifetime of the multimeter working in marine environment with multiple-performance indicators can be predicted accurately. A case study is presented as an application of this method.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"54 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":"129601289","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

Weak Fault Feature Enhancement of Acoustic Data Based on Variational Mode Decomposition 基于变分模态分解的声学数据弱故障特征增强

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942962

Gang Tang, Chaoren Qin, Zhi Xu, Ying Chen

引用次数: 0

Study on the Influence of PHM Technology on Aircraft Maintenance Support Mode PHM技术对飞机维修保障模式的影响研究

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI: 10.1109/phm-qingdao46334.2019.8942925

Tao Gao, Pu Chen, Mei Han

引用次数: 1