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As an important part of artificial intelligence, expert systems have widely used in the field of mechanical fault diagnosis. But with the development of the large data and cloud computing, some systems' hardware scale have inflated, which makes the energy consumption become a problem to be solved in the expert system. However the traditional database system is hard to satisfy the semantics need of...
Gearbox is an important transmission component in mechanical equipment, which is prone to failure. When diagnosing the faults of gearbox, the recognition ability of support vector machine (SVM) is greatly influenced by the kernel function and its parameters. However, the optimal parameters are difficult to find. To solve this problem, the parameter optimization method of support vector machine based...
The vibration signals of rotating machinery present a strongly non-linear and non-Gaussian behavior, and bispectrum is well suitable to analyze this kind of signals. Due to modulation or smearing, it is hard to extract the accurate frequency-based features from the bispectrum. A bispectral distribution for machinery fault diagnosis is developed in this paper. The binary images extracted from the bispectra...
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