期刊名称:International Journal of Soft Computing & Engineering
电子版ISSN:2231-2307
出版年度:2013
卷号:3
期号:4
页码:211-215
出版社:International Journal of Soft Computing & Engineering
摘要:The objective of this paper is to progress the over current protection for Permanent Magnet Brushless DC Motors (PMBLDCM) operating under the various operating conditions ranging from no-load to full load operation. From operating point of view, an operation where th e operating point of motor is continuously changing with time and the motor is never operating at a constant speed throughout its operation is termed as non-stationary. Signal processing algorithms such as the Fast Fourier Transform (FFT) cannot be used in non-stationary signals analysis is essentially complicated. This means that under assumptions of near stationary more sophisticated signal processing techniques are needed. In wavelet analysis, a signal is analyzed at different scales or resolutions. To gaze at the approximate stationary of the signal, a large window is used to and a small window is simultaneously used to look for transients. This multi-resolution or multi-scale view of the signal is the core of wavelet analysis. A single prototype function is used to perform wavelet analysis called a wavelet. As measurement of the instantaneous frequency is a significant feature of the anticipated fault-detection algorithm[1]. The Haar wavelet will be chosen for this application