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General fault diagnosis method just studied sensor fault or system fault. Indeed, they may occur at the same time. Few literatures discussed how to distinguish sensor fault and system fault. Principle component analysis (PCA) is employed into fault diagnosis field to distinguish sensor fault and system fault in this paper. SPE is used to detect fault and SVI (Sensor Validating Index) is used to identify...
By the contrast with conventional methods, Acoustic Emission (AE) sensor possesses better performance for tool wear identifying. So, AE sensor is employed into identification of tool wear in this paper. Because of the diversity and time varying of AE, Empirical Mode Decomposition (EMD) and Support Vector Machine (SVM) are employed to analyze AE signal. EMD is suitable for analyzing non-stationary...
Because of the disadvantage of conventional MSPCA based on wavelet transform when detecting fault with high frequency, the method with MSPCA based upon wavelet packet decomposition was proposed and applied into sensor fault diagnosis and data reconstruction in this paper. Firstly, the sensor data was decomposed as orthogonal wavelet packet transform to achieve the best-tree for decomposition. Modals...
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