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Ten lectures on wavelets
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UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
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Wavelet-based combined signal filtering and prediction
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The detection of faults in sensors is very important as these faults may pose a threat to the safety of the system. In particular, the detection of abrupt faults is very essential in order to improve the safety barrier. In this paper, we have proposed a new and powerful method for the detection of faults. The approach is based on wavelet transform analysis. The main concept in this approach is to decompose the sensor output signal response into other signals, which represent the smoothed and detailed version of the original signal. If there is a change in the original signal because of the fault, then it will be reflected in the decomposed signals and by comparing the decomposed signals with the decomposed versions of a healthy signal, we can the detect and localise the fault.