Diagnosing Intermittent Faults to Restrain BIT False Alarm Based on EMD-MSVM

摘要：

Intermittent fault is an important factor causing built-in test(BIT) false alarm. Diagnosing intermittent fault is an important approach to restrain BIT false alarms. This paper proposes a intermittent faults diagnostic methods based on empirical mode decomposition (EMD) and multiple support vector machine (MSVM). Firstly, the EMD method is used to decompose the original signal into a number of intrinsic mode function (IMF), the autoregressive (AR) model of each IMF component is established. The AR model parameters and the variance of remnant are regarded as the feature vectors, are input to MSVM classifier, so the working conditions and faults are classified. The experimental results show that the BIT false alarm caused by intermittent fault can be effectively reduced by this proposed method.

关键词： Built-in test (BIT) False alarm Intermittent fault Empirical Mode Decomposition(EMD) Auto regression (AR) model Multiple Support vector machine (MSVM)

作者: Ming Wei Guo hi Hong Ni Jia Hai Zhu

作者单位: The Engineering Institute, Air Force Engineering University, Xian Shaanxi 710038, China

会议类型: 国际会议

会议名称: 2011 International Conference on Vibration,Structural Engineering and Measurement(2011年振动、结构工程与测量国际会议 ICVSEM 2011)

会议地点: 上海

会议语种:英文

页码: 729-732

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）