Motor current signature analysis via four-channel FIR filter banks |
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| Affiliation: | 1. Izmir University of Economics, Faculty of Engineering and Computer Science, Balcova, Izmir, Turkey;2. University of Missouri-Columbia, College of Engineering, Columbia, MO, USA;1. Department of Design and Manufacturing Engineering, Universidad de Zaragoza, Zaragoza, Spain;2. Centro Universitario de la Defensa, Zaragoza, Spain;1. Wenhua College, Wuhan 430074, China;2. School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China;1. Technological Institute of Aragón, C/ María de Luna 7-8, E-50018 Zaragoza, Spain;2. Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, C/ María de Luna 1, E-50018 Zaragoza, Spain |
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| Abstract: | 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. |
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| Keywords: | MCSA Wavelet packet decomposition M-channel filter banks |
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