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Timely detection of the degradation and defects is crucial to prevent the gearbox system's performance deteriorates to an unacceptable extent. However, the fault signal is extremely weak and easily affected by the environmental noise at the early stages of the failure. In this paper, we consider the problem of extracting the underlying useful weak fault signals from noisy measurements. To accomplish...
In this paper, a nonlinear independent component analysis method is developed. It is at heart a smooth mapping method, also incorporates interval optimization to improve the learning performance. The nonlinear inverse mapping from observations to estimated source signals is modeled by a multilayer perceptron network, while their weights are replaced by interval numbers. Then a Branch-and-Bound optimization...
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