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The present paper presents the fault detection of eccentricity using a new qualitative (and quantitative) analysis which based on discrete wavelet transform (DWT) technique. DWT method was based on analyzing the stator current. DWT coefficients of the stator current in a particular frequency band are calculated and analyzed. We used the wavelet mother of Daubechies to analyze the stator current under...
It is well-known that the wavelet transform is a very useful mathematical tool for scale analysis, with very accurate frequency components estimation for the input signal. In this paper, we propose a new efficient method for QRS detection by employing the Stationary Wavelet Transform (SWT) also known as short wavelet transform. Our approach has been tested over MIT/BIH benchmark database. The obtained...
In this paper, a new approach for the detection of muscle fatigue is described. This approach uses a combination of several analytical techniques based on processing (Matlab). We applied one of the standard physical exercises causing the fatigue of the hand's muscles. After recording by the Arduino acquisition card of the raw signal EMG (electromyography; it's an electrical signal translating muscular...
With the growing use of sensitive and susceptive electronic and computing equipment, power quality is foreseen to cause a great concern to electric utilities. The best analysis on power quality is vital to provide better service to customers. Disturbances in power system usually produce continuity changes in the power signal. Wavelet transform is particularly useful in detecting discontinuities in...
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