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- W4310373493 abstract "This chapter explores the use of signal processing in fault detection, and provides a concise description of “signal”. It provides a brief introduction to the advanced signal processing tools that have already been used in fault diagnosis. In a modern analog-to-digital conversion, the effects are mainly dominated by analog noise. The frequency at which the signal is sampled is the so-called “sampling rate”. The Nyquist-Shannon theorem determines the minimum sampling rate of the signal. The minimum sampling rate is also called the Nyquist rate. Spectral kurtosis was introduced to overcome the inefficiency of power spectral density that eradicates the non-stationary-non-Gaussian data from the signal. Fast Fourier transform applied to the air gap magnetic field in a healthy and faulty salient pole synchronous generator. Discrete wavelet transform is a useful tool that is frequently used for feature extraction of electrical machines under faulty operation." @default.
- W4310373493 created "2022-12-09" @default.
- W4310373493 date "2022-11-30" @default.
- W4310373493 modified "2023-09-26" @default.
- W4310373493 title "Signal Processing" @default.
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- W4310373493 doi "https://doi.org/10.1002/9781119636151.ch10" @default.
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