Research of dimensionless index for fault diagnosis positioning based on EMD

Zhang, Qinghua, Zhao, Guangchang, Shu, Lei , Qin, Aisong and Zhang, Yu (2016) Research of dimensionless index for fault diagnosis positioning based on EMD. Journal of Computers, 27 (1). pp. 62-73. ISSN 1991-1599

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Research of dimensionless index for fault diagnosis positioning based on EMD
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Abstract

Dimensionless index as a new theory tool has been applied in fault diagnosis study, which has shown some progress, however, it will cause some interference to the diagnosis results since no considering the influence of other noise jamming signal is given. Empirical Mode Decomposition (EMD) technique could extract effectively the fault characteristic signal of vibration data. In view of the noise jamming of dimensionless index in analyzing data, dimensionless index processing algorithms based on EMD is proposed. Firstly, EMD method is used to decompose the collected vibration signals, then the first few Intrinsic Mode Functions (IMF) components are obtained which contains the fault characteristic of vibration data, and the effects of other noise signal are removed at the same time. Secondly, fault diagnosis can be achieved by calculating dimensionless parameter values to the IMF components with characteristic signal of vibration data, and obtaining range of characteristic value of their dimensionless index, then diagnosing and analyzing fault characteristics of the equipment. The proposed method is applied to fault diagnosis test analysis of rotating machinery, and the experiment has shown that the proposed method is efficient and effective.

Keywords:Dimensionless index, Characteristic signal, Fault diagnosis, Empirical mode decomposition, JCOpen
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
Divisions:College of Science > School of Engineering
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ID Code:19257
Deposited On:28 Oct 2015 16:08

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