Motor current signature analysis via four-channel FIR filter banks

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• 作者：Levent Eren^a ; ^{levent.eren@ieu.edu.tr" class="auth_mail" title="E-mail the corresponding author} ; Murat Aşkar^a ; Michael J. Devaney^b
• 关键词：MCSA ; Wavelet packet decomposition ; M-channel filter banks
• 刊名：Measurement
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：89
• 期：Complete
• 页码：322-327
• 全文大小：1461 K

文摘

Motor current signature analysis (MCSA) is capable of providing continuous monitoring of induction motors in a non-intrusive manner. Fourier based techniques have been used widely in processing of stator current but these techniques have a shortcoming in processing non-stationary signals such as the stator current. Recently, wavelet packet decomposition (WPD) has become popular in such applications since it gives better results in the case of non-stationary signals. The latter approach has much higher computational complexity limiting its use in motor diagnostics applications. In this study, the use of four-channel FIR filter banks is proposed to provide lower computational complexity. Four-channel filter banks employ higher level of parallel processing than currently used two-channel filter banks. FPGA implementation of the proposed algorithm would result in even further reduction in overall computation time.