{"title":"Analysis of time domain reflectometry for crack intermittency detection in circuit board","authors":"Li Huakang, Lv Kehong, J. Qiu, Guanjun Liu","doi":"10.1109/PHM.2017.8079172","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079172","url":null,"abstract":"For the crack intermittency detection in circuit board, a detection method based on time domain reflectometry is proposed. And a time domain signal feature is extracted, the time domain signal feature is highly sensitive to the defect. Firstly, in order to analyze the change trend of time domain signal under intermittent disconnection. The influence of conductor crack on the physical parameters is analyzed. The physical parameters include AC/DC resistance, inductance and capacitance. And then the principle of signal reflection is described. The ringing phenomenon that caused by signal reflection is used for crack intermittency detection. Therefore the maximum, minimum and peak-peak values of time domain signal are used to detect intermittent disconnection. At last solder joint equivalent circuit is used to verify the effectiveness of the method. When the intermittent disconnection happened in circuit board, the time domain reflection phenomenon is observed clearly. The maximum, minimum and the peak-peak values of output voltage signal are changed greatly, simulation result shows that the high frequency signal is sensitive to intermittent disconnection, and the proposed method is effective.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"2015 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":"114685287","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}
Yan Xiaozhen, Luo Qinghua, Wang Yao, Songjia, Shen hao, Zhang Hui, Zhou Pengtai, Wang Chenxu, Han Zhihao
{"title":"IT-QEAS: An improved trilateration localization method through quality evaluation and adaptvie optimization selection strategy","authors":"Yan Xiaozhen, Luo Qinghua, Wang Yao, Songjia, Shen hao, Zhang Hui, Zhou Pengtai, Wang Chenxu, Han Zhihao","doi":"10.1109/PHM.2017.8079156","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079156","url":null,"abstract":"Wireless localization can provide position information for limitary, aerospace, emergency scheduling, rescue and relief work, fault diagnosis and many other related location-based services system in various application fields. Location information always supports critical decision-making of these application systems. So the localization accuracy is of great importance. As availability, low computation complexity, and low cost, trilateration localization method is applied in various systems. However, as there are numerous negative factors like non-line-of-sight measurement, complex multipath fading, which leads to high level localization error. To improve localization accuracy, an improved trilateration localization method is proposed, which is called improved trilateration localization method with distance estimation quality evaluation and anchor node adaptive selection (IT-QEAS). In this method, the qualities of distances estimation between unknown node and anchor nodes are evaluated, and the anchor nodes with higher quality distance estimation are selected adaptively to form trilateration localization equations, and finally, location result with high accuracy could be gained. The experimental result with actual localization data is shown that the proposed method can get higher localization accuracy with low computation complexity.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"106 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":"114898348","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}
Shouqiang Kang, Lili Cui, Yujing Wang, Fulin Li, V. I. Mikulovich
{"title":"Method of assessing the multi-state of a rolling bearing based on CFOA-HSVM two measures combination","authors":"Shouqiang Kang, Lili Cui, Yujing Wang, Fulin Li, V. I. Mikulovich","doi":"10.1109/PHM.2017.8079180","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079180","url":null,"abstract":"To assess the multi-state of a rolling bearing more effectively and simultaneously, a unified assessment method is proposed based on chaos fruit fly optimization algorithm hyper-sphere support vector machine (CFOA-HSVM) two measures combination. Aiming to the blindness of parameters selection for HSVM, multiple parameters of HSVM can be searched the optimal values using chaos theory combined with fruit fly optimization algorithm (CFOA), and HSVM model based on CFOA can be constructed. On above basis, the minimum of difference coefficient, that is generalized minimum distance, can be extracted and regarded as geometric assessment distance measure that is sensitive to absolute value. Meanwhile, angle cosine distance is introduced to calculate angle cosine distance between classification state and normal state, and is regarded as assessment distance measure which is sensitive to the direction. Then the assessment measure of generalized minimum distance is compensated and the unified assessment index of multi-state of the rolling bearing is constructed based on two measures combination, further the assessment model can be constructed and the assessment curve can be obtained. Experiments show that the proposed method can assess the different fault location and different failure degree of the rolling bearing more effectively and simultaneously.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"28 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":"124049404","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}
Xiaodong Hou, Jiangping Yang, Yu Zhang, Zengjun Bi
{"title":"Study on prediction method of fault channel numbers in radar antenna array","authors":"Xiaodong Hou, Jiangping Yang, Yu Zhang, Zengjun Bi","doi":"10.1109/PHM.2017.8079205","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079205","url":null,"abstract":"Antenna array is an important part of large phased array radar, it has great significance to predict the numbers of fault channel of antenna array to reduce the cost of equipment maintenance support and improve the operational efficiency of equipment. Aiming at the problem of the volatility of the historical data of fault channel, sliding average method is used to preprocess the initial data to improve the adaptation of grey prediction method. Adaptive operator is introduced to reconstruct the background value of the model and improve the prediction accuracy. The metabolic method is introduced to solve the problem of data updating. The improved GM (1,1) model has been established to predict fault channel numbers of antenna array. The effectiveness of proposed method is verified by simulation and algorithm comparison, which provides a new method for the prediction of fault channel numbers of antenna array.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"34 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":"114979008","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}
{"title":"OBDD method for compilation based diagnosis of satellite","authors":"Bo Pang, Zhigang Huang, Wenfeng Zhang, Wenjuan Li","doi":"10.1109/PHM.2017.8079228","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079228","url":null,"abstract":"Model-based fault diagnosis approach has been widely studied and applied because of high accuracy, strong adaptability and other advantages. However, as the complexity of the structure and function of the satellite systems increase, online reasoning of model based fault diagnosis method is greatly challenged by the low time efficiency. Offline compilation technology compiles the system model into a special form in the off-line phase, making it unnecessary to complete complex reasoning during the online diagnosis stage, thus saves much time in online diagnosis stage. Ordered Binary Decision Diagrams (OBDD) is an excellent compilation language. This paper applies it in the fault diagnosis of satellite system, studying the model abstraction, off-line model compilation and on-line fault diagnosis of satellite system. Theoretical analysis and experimental analysis show that the use of ordered binary decision diagrams can significantly improve the efficiency of online diagnostics and has a wide range of application value.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"147 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":"123116112","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}
N. J. Jameson, M. Azarian, M. Pecht, Kai Wang, Xu Aidong
{"title":"Electromagnetic coil equivalent circuit model sensitivity analysis for impedance-based insulation health monitoring","authors":"N. J. Jameson, M. Azarian, M. Pecht, Kai Wang, Xu Aidong","doi":"10.1109/PHM.2017.8079188","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079188","url":null,"abstract":"Insulation failure is a significant driver of failures in electromagnetic coils, which are used, for example, in motor and solenoid applications. A promising method of assessing the health of insulation in electromagnetic coils is the use of broadband terminal impedance measurements. Previous research has focused on the resonant frequency of the coil impedance response as a feature to reflect insulation health. This paper performs a sensitivity analysis of an equivalent circuit model for the electromagnetic coil in order to survey the frequency spectrum for frequencies that can be applied in insulation health monitoring. The results show that while resonant frequency is sensitive to changes in the insulation, there are frequencies around the resonant frequency that are many times more sensitive to these changes, and hence should be preferred for insulation health monitoring purposes. With this knowledge, health monitoring system designers can understand where in the frequency spectrum insulation health data can best be located, allowing for an effective health monitoring system design.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"31 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":"125008632","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}
{"title":"Product failure modeling method based on Altarica language","authors":"Gao Long, Ao Liang","doi":"10.1109/PHM.2017.8079269","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079269","url":null,"abstract":"Failure analysis is an important part in reliability analysis, while the traditional FMEA method could not analyze system with complex physical structure and functional logic by tables. Based on the Altarica language, this paper presents a method of product fault modeling and analysis for complex system. Then give examples of cold/warm backup system and reconfiguration system to verify the accuracy of fault logic transform process. The results turns out that method in this article solves the problems traditional FMEA facing and provides model foundation for the mission reliability, testability and safety analysis.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"85 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":"128930931","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}
{"title":"The temperature fluctuation modeling and compensation for the degradation data of super-luminescent diode","authors":"Fuqiang Sun, Ning Wang, Xiaoyang Li, T. Jiang","doi":"10.1109/PHM.2017.8079286","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079286","url":null,"abstract":"The environmental factor (such as temperature, etc.) is an important error sources of product performance degradation data. In practice, the raw degradation data usually contain some noise terms caused by the fluctuation of environmental factor. Therefore, it is necessary to extract the real degradation trend before degradation modeling and life prediction. In this research, the Grey relational analysis method is utilized to quantitatively describe the correlational relationship between temperature fluctuation and raw degradation data. Then a novel temperature compensation model based on least squares support vector machine (LS-SVM) is proposed, which can be used to compensate the influence of environmental fluctuation on degradation data. An engineering case study on the degradation data of a super-luminescent diode (SLD) is employed to verify the effectiveness of the proposed method.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"185 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":"121093083","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}
{"title":"Prognostics of rolling element bearings with the combination of paris law and reliability method","authors":"M. Behzad, Hesam Addin Arghan, A. Bastami, M. Zuo","doi":"10.1109/PHM.2017.8079187","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079187","url":null,"abstract":"In this research, a combination of the physical model based on Paris law and probability method is proposed for remaining useful life prediction of rolling element bearings. Level crossing is used as a feature that represents a linear relationship with defect size. Considering this linear relationship and using Paris law, a new model has been developed for bearings that follow degradation pattern with two stages. In this pattern, a bearing starts working in the healthy condition. Then it starts slow degradation stage and finally it goes to fast degradation stage until it reaches to the failure threshold. Considering a normal distribution for transition point from the slow degradation to the fast degradation stage, the model proposed in this article presents a probability distribution for the remaining useful life at any working point in slow degradation stage. In addition, the model presents a good and accurate prediction results in the fast degradation stage. The bearing run-to-failure vibration condition monitoring record is used for investigating the purpose of this study.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"24 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":"121286421","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}
{"title":"Research on screening method of performance index of PHM system for armored vehicles","authors":"Meijie Zhai, Hua Cong, Fuzhou Feng, Shoujun Wu","doi":"10.1109/PHM.2017.8079292","DOIUrl":"https://doi.org/10.1109/PHM.2017.8079292","url":null,"abstract":"The comprehensive index system is a prerequisite and basis for ensuring the scientific performance of the product performance evaluation, so, the screening of the index is the necessary link in the construction of the index system. The paper regards the armored vehicle PHM system as a special product, aiming at the problem that the redundancy of the primary index set of the armored vehicle PHM system performance index system is high and the targeting is not strong. This paper uses Principal Component Analysis (PCA) to select the index, and then analysis of correlation between indicators and obtain the final optimal results. Finally, factor analysis is used to verify the feasibility and scientificity of the method, which lays a foundation for further evaluating the performance of PHM system.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"85 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":"116193267","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}