2017 Prognostics and System Health Management Conference (PHM-Harbin)最新文献_第9页

A frame design of helicopter health monitoring and diagnosis system based on testability 基于可测试性的直升机健康监测与诊断系统框架设计

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079249

X. Liqing, Zhang Cheng, H. Yan, Gong Yunan, Fu Haiyan

引用次数: 2

Lifetime estimation for battery with the regeneration phenomena in both degradation state and rate 具有退化状态和退化速率下再生现象的电池寿命估计

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079132

Jian-xun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Donghua Zhou

引用次数: 0

Fault feature extraction based on artificial hydrocarbon network for sealed deep groove ball bearings of in-wheel motor 基于人工烃网络的轮毂电机密封深沟球轴承故障特征提取

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079189

Hongtao Xue, Man Wang, Zhongxing Li, Peng Chen

{"title":"Fault feature extraction based on artificial hydrocarbon network for sealed deep groove ball bearings of in-wheel motor","authors":"Hongtao Xue, Man Wang, Zhongxing Li, Peng Chen","doi":"10.1109/PHM.2017.8079189","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079189","url":null,"abstract":"Sealed deep groove ball bearings (SDGBBs) are employed to perform the relevant duties of in-wheel motor. However, the unique construction and complex operating environment of in-wheel motor may aggravate the occurrence of SDGBB faults. Therefore, this paper proposed a novel feature extraction from vibration signals which performance should owe to artificial hydrocarbon networks (AHNs). AHNs are a novel machine learning method which inspiration follows from chemical rules of organic chemistry. When a signal is properly divided into small parts for simulating organic structure, and the vibration information of each part are used to represent the behavior of each molecule or compound, the interested information can be packaged perfectly. All packages can retain the nature of the signal. In that sense, a AHNs-based filtering is established to cancel the noise and extract the feature from vibration signals. The presented method in this article has been applied to perform the feature extraction of in-wheel motor SDGBBs' faults, and practical examples have verified that it is feasible and effective to extract the features of vibration signals by AHNs-based filtering.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"453 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134497293","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

Helicopter electrical connector intermittent fault diagnosis technology based on contact damage model and vibration stress analysis 基于接触损伤模型和振动应力分析的直升机电连接器间歇性故障诊断技术

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079248

Kehong Lyu, J. Qiu, Z. Zhou, Guanjun Liu

引用次数: 1

Sparse representation based on spectral kurtosis for incipient bearing fault diagnosis 基于谱峰度的稀疏表示早期轴承故障诊断

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079185

Ruo-bin Sun, Zhi-Bo Yang, Xuefeng Chen, J. Xiang

{"title":"Sparse representation based on spectral kurtosis for incipient bearing fault diagnosis","authors":"Ruo-bin Sun, Zhi-Bo Yang, Xuefeng Chen, J. Xiang","doi":"10.1109/PHM.2017.8079185","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079185","url":null,"abstract":"The bearing fault, generating harmful vibrations, is one of the main causes of machine breakdowns. Therefore, performing bearing fault diagnosis is a key point to improve the reliability of the mechanical systems and reduce the corresponding operating expense. Recently, more and more studies focus on addressing this problem through detection transient signal by means of sparse representation (SR) theory. Although tremendous progress has been made, one important drawback remains to be solved: in the early stage of bearing failure, the incipient impact signal is relatively weak, which is hard to detect due to other mechanical components harmonic signals and interference of noise. In order to solve this problem, spectral kurtosis (SK), a popular tool to detect non-stationary signal, is introduced as a pre-procedure of the transient signal sparse representation. A novel sparse representation based on spectral kurtosis method is proposed in this work, namely the SKSR. SKSR utilizes the advantages of both of the methods: it is possible to choose the best matching of the atomic signal with the failure signal structure feature to gain sparse representation and efficiently extract transient signal from strong noise. The effectiveness of the proposed method is verified by the numerically simulations and lab experiments. The results show that the presented method is efficient for the title problem.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125020680","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

Application of feature fusion based on DHMM method and BP neural network algorithm in fault diagnosis of gearbox 基于DHMM方法的特征融合与BP神经网络算法在齿轮箱故障诊断中的应用

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079182

Wen Zhu, Jin Huang, Shun Feng, Jie-jie Wei, Hai-xia Chen

{"title":"Application of feature fusion based on DHMM method and BP neural network algorithm in fault diagnosis of gearbox","authors":"Wen Zhu, Jin Huang, Shun Feng, Jie-jie Wei, Hai-xia Chen","doi":"10.1109/PHM.2017.8079182","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079182","url":null,"abstract":"With the development of artificial intelligence algorithm, BP neural network algorithm is widely used in many fields, such as fault diagnosis, intelligent control and dynamic signal processing, because it has many advantages for example self-learning, self-organization and nonlinear mapping. Compared with BP neural network, the hidden Markov model is suitable for dynamic time series modeling and has strong temporal classification ability. However, the hidden Markov model has problems of initial model optimization and algorithm underflow when applied to pattern classification. In this paper, the discrete hidden Markov model (DHMM) and BP neural network algorithm are combined to apply to the fault diagnosis of gearbox. Firstly, the probabilities of failures were obtained by preprocessing of the fault samples. Then the probabilities are added to the time-frequency characteristics as new features. The BP neural network algorithm were used to classify the samples whose features had been extended. The experimental results showed that the proposed method was more conducive to fault diagnosis of gearbox.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123043404","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 symbolic reasoning based anomaly detection for gas turbine subsystems 基于符号推理的燃气轮机子系统异常检测

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079230

Fei Li, Guowen Zhou, Xingshuo Li, Linhai Zhu, Hongzhi Wang

引用次数: 4

Roc analysis based condition indicator threshold optimization method 基于Roc分析的工况指标阈值优化方法

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079234

Lun Zhang, N. Hu

引用次数: 0

Experimental and numerical analysis of overhead transmission lines vibration due to atmospheric icing 大气结冰作用下架空输电线路振动的实验与数值分析

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079288

B. Liu, K. Ji, X. Zhan, X. Fei, P. Li, Bin Zhao, Yongxing Dong, C. Deng, Liang Liu, Zhili Wang, Yongqin Luo, Yang Bai

{"title":"Experimental and numerical analysis of overhead transmission lines vibration due to atmospheric icing","authors":"B. Liu, K. Ji, X. Zhan, X. Fei, P. Li, Bin Zhao, Yongxing Dong, C. Deng, Liang Liu, Zhili Wang, Yongqin Luo, Yang Bai","doi":"10.1109/PHM.2017.8079288","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079288","url":null,"abstract":"Atmospheric icing is one of the main threats to overhead transmission lines in cold regions. The ice related loads may cause mechanical incidents, such as wire breakage, cable rupture, clamp slipping, cross-arm deformation and even tower collapse. Ice shedding may lead to dramatic vibration of lines and cause flashover or short circuit among ground wires, conductors and the earth. Therefore, to obtain the static and dynamic load characteristics of the overhead electric transmission lines is essential for transmission line design and operation. Also, it provides important information for health evaluation of transmission line components, and prediction of their remaining service life. In present study, a three-span full scale physical model of transmission line was established, with the span length of 50m-150m-50m. Ice shedding was simulated by sudden release of lumped mass. The mid-span jump heights were measured during different ice shedding scenarios, to quantizing the dynamic characteristics of lines. Then, finite element method (FEM) was employed for numerical simulation of ice shedding phenomenon. The comparison of numerical and experimental results confirms the feasibility and efficiency of the numerical simulation method in this paper. This study provides essential experimental data about ice shedding of full scale transmission lines, and is of great help for transmission line design and icing disaster alleviation.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175350","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

Evaluation method of electrical connector performance based on intermittent failure 基于间歇失效的电连接器性能评价方法

2017 Prognostics and System Health Management Conference (PHM-Harbin) Pub Date : 2017-07-01 DOI: 10.1109/PHM.2017.8079306

Qian Li, K. Lv, J. Qiu, Guanjun Liu

{"title":"Evaluation method of electrical connector performance based on intermittent failure","authors":"Qian Li, K. Lv, J. Qiu, Guanjun Liu","doi":"10.1109/PHM.2017.8079306","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079306","url":null,"abstract":"With the degradation of electrical connector performance, the intermittent failure (IF) may occur in connector when subject to vibration, thermal and humidity stress. Intermittent failure is generally a precursor to a permanent fault (PF). During the whole life cycle of the electrical connector. The dynamic parameters such as frequency and duration of intermittent failure, evolve continuously with time. And the dynamics of intermittent failure show the correlation with the electrical connector performance. Therefore, based on dynamics of intermittent failure, a novel evaluation method for electrical connector performance is proposed in this paper. Firstly, the reliable theory stress-strength interference (SSI) model is introduced to analysis the mechanism of intermittent failure. And the intermittent failure rate (γIF) is derived according to mechanism of intermittent failure. Secondly, the occurrence process of environmental stress is modeled using renewal process in this paper. Through the occurrence process of environmental stress and intermittent failure rate, the dynamic characteristic of intermittent failure occurring number can be obtained. By investigating the correlation between the number of intermittent failure and degradation, the evaluation method of electrical contact performance based on intermittent failure occurring numbers and the evaluation method of electrical contact performance based on duplicating of intermittent failure are presented separately. At last, a monte Carlo simulation method is carried on to verifies the effectiveness of the proposed evaluation methods.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127058678","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