2016 Prognostics and System Health Management Conference (PHM-Chengdu)最新文献_第3页

Incipient fault detection of guided missiles based on adaptive and sliding-mode observer 基于自适应滑模观测器的导弹早期故障检测

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819844

Yongjin Liu, Lin Zhang, Wenfeng Wang, Xiao-guang Ma, Jianjun Wang

引用次数: 0

Fluctuation feature extraction of satellite telemetry data and on-orbit anomaly detection 卫星遥测数据波动特征提取与在轨异常检测

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819832

Lu Zheng, Jin Guang, T. S. Han

{"title":"Fluctuation feature extraction of satellite telemetry data and on-orbit anomaly detection","authors":"Lu Zheng, Jin Guang, T. S. Han","doi":"10.1109/PHM.2016.7819832","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819832","url":null,"abstract":"On-orbit anomaly detection is an open problem for long-term management of satellites, in which defining and extracting effective features based on satellite telemetry data is one of the key points. Classical spectral analytic methods such as Fourier analysis, Wavelet analysis methods and other signal processing methods have make contributions to the cognition and management of satellite telemetry data. However, with satellite running on orbit and huge data accumulated, it is difficult to utilize and cognize the telemetry data features due to the discrete values, huge volumes, containing large noise, loss of data and complex anomaly, which makes the features of telemetry data non-significant and hinders the anomaly detection of telemetry data. This paper proposes a set of fluctuation feature of satellite telemetry data, called state-counting method (SCM), in which the changing frequency and amplitude of satellite telemetry data are extracted to describe the fluctuation features of satellite telemetry data. This extraction method is feasible and efficient, and is not sensitive to noise and outliers in the telemetry data. Based on the fluctuation features, an efficient anomaly detection method based on SPRT is proposed. Comparison of the approach with others shows that the fluctuation features proposed in this article can be used to recognize the normal and anomaly satellite states. From the index system of scoring, this approach has high computational efficiency and better detection performance.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"36 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":"131542674","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: 5

Dynamic Bayesian networks in electronic equipment health diagnosis 电子设备健康诊断中的动态贝叶斯网络

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819945

Hongwei Xie, Junyou Shi, Wang Lu, Weiwei Cui

引用次数: 9

Test point optimization selection based on quantitative fault propagation analysis 基于定量故障传播分析的测试点优化选择

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819931

Xiao-dong Tan

引用次数: 0

An anti-radiation evaluation method for satellite power system based on quantification of margins and uncertaities 基于余量和不确定性量化的卫星电力系统抗辐射评估方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819947

Tang Shihan, Jin Guang, Liu Yan

引用次数: 0

A prototype system for acoustic emission-based structural health monitoring of My Thuan bridge 基于声发射的美顺大桥结构健康监测原型系统

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819877

G. Świt, A. Krampikowska, Luong Minh Chinh

引用次数: 12

Damped SVD for operational transfer path analysis 用于操作传递路径分析的阻尼奇异值分解

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819793

Wei Cheng, Yapeng Chu, Yingying Lu, Y. Zi

{"title":"Damped SVD for operational transfer path analysis","authors":"Wei Cheng, Yapeng Chu, Yingying Lu, Y. Zi","doi":"10.1109/PHM.2016.7819793","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819793","url":null,"abstract":"Transfer path analysis (TPA) is a method to identify energy transfer paths based on experiment and principle of linear superposition, which is widely used to identify the source of main faults based on vibration and noise signals, thus benefiting the works of PHM. However, load identification and transfer function measurement make it complex and slow to carry out. Operational transfer path analysis (OTPA) gets rid of the load identification and transfer function measurement, has attracted more attention due to simple and fast modeling. From a theoretical perspective, OTPA belongs to an inverse problem. Conventional OTPA use truncated singular value decomposition (TSVD) to identify transmissibility function matrix, which has two main shortages. Firstly, TSVD uses 0 and 1 as filter factors, without considering smoothness of filter factors, the sudden change of filter factors will result in large rounding errors, thus aggravating the ill-conditioned degree and approximate solution distortion. Secondly, the truncating parameter is usually chosen from experience, which is one of the most important parameters in TSVD, it's obviously not precise enough to meet the requirements. DSVD uses smooth filter factors to overcome the shortage of sudden change of filter factors in TSVD. Moreover, the regularization parameter is used to calculate the filter factors, which is easy to figure out by L-curve, overcoming the shortage of choosing from experience. A simulation experiment is adopted to test the proposed OTPA which proves that the proposed OTPA is correct and effective to solve vibration and noise problems. The proposed OTPA is also compared with the conventional OTPA which proves that precision of the proposed OTPA is much higher than that of the conventional OTPA.","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":"117045164","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 fault prediction method for closed-loop SEPIC converters under variable operating conditions 变工况下闭环SEPIC变流器故障预测方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819816

Yuanyuan Jiang, You-ren Wang, Quan Sun, Yi Wu

{"title":"A fault prediction method for closed-loop SEPIC converters under variable operating conditions","authors":"Yuanyuan Jiang, You-ren Wang, Quan Sun, Yi Wu","doi":"10.1109/PHM.2016.7819816","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819816","url":null,"abstract":"Due to the critical applications of single-ended primary inductance converter (SEPIC) in various fields, it is necessary for the SEPIC converters to predict their performance trends. Closed-loop control instead of open-loop control have been adopted in SEPIC converters, and the fault prognostic methods used for open-loop converters sometimes are no longer suitable for closed-loop converters. Besides, the system-level fault feature parameters (FFP) is often influenced not only by the fault modes, but also by the variation of working conditions. To address these problems, an innovative system-level FFP represents the degradation status of the entire converter under variable operating conditions is extracted, and a prognostic method based on the degradation trend of the FFP is proposed. Firstly, the deterioration laws of some system-level parameters with the change of critical components under different operating conditions are studied. Then, a system-level performance parameter of closed-loop SEPIC converters which is sensitive to the degradation of all critical components and has regular trend is chosen, and the degradation performance parameter under rated operating condition is obtained as FFP by multivariate least-squares regression. Finally, the trend prediction of the FFP is performed based on Extreme learning machine (ELM) to realize the prognosis of closed-loop SEPIC converters. The experimental results show the feasibility and effectiveness of the proposed method.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"502 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":"123421971","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

Reliability modeling of repairable system based on a stochastic model 基于随机模型的可修系统可靠性建模

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819801

Guangpeng Liu, Chong Peng

{"title":"Reliability modeling of repairable system based on a stochastic model","authors":"Guangpeng Liu, Chong Peng","doi":"10.1109/PHM.2016.7819801","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819801","url":null,"abstract":"Reliability modeling is an important part of reliability research, which has important guiding significance for evaluating system reliability index and optimizing preventive maintenance strategy. Maintenance behaviors, such as maintenance and replacement of system components, etc. have great influence on the reliability of repairable system. But the commonly used reliability distribution models ignore the repair history, which is not in conformity with the actual engineering application. In this paper, a reliability model based on failure time and maintenance effect was established by using log-linear baseline intensity function. The proposed model overcome the lack of Weibull distribution and Weibull process that only consider the change trend of failure time and ignore the importance of repair history. Then, the proposed model was a three parameter model, and the model parameter estimation was studied by using maximum likelihood method. Finally, the reliability model was applied in the reliability analysis of a repairable Numerical Control (NC) system. The validity of the proposed model and its parameter estimation method were verified. Compared with the Weibull distribution and Weibull process, the proposed model has obvious superiority, and fits the cumulative number of failure curve very well.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"2 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":"123444768","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

Research on relationship between manufacturing process quality variation and product reliability 制造过程质量变化与产品可靠性的关系研究

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819909

Jin-yong Yao, Bob Xiong, Yun Zhou, Yihai He

引用次数: 4