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The analysis of vibration or acoustic signals is most widely used in the health diagnosis of rolling element bearings. One of the main challenges for vibration or acoustic bearing diagnosis is that the weak signature of incipient defects is generally swamped by severe surrounding noise in the acquired signals. This problem can be solved by the stochastic resonance (SR) approach, which is to enhance...
The interference from background noise makes it difficult to identify the incipient defect of a bearing via vibration analysis. By the aid of stochastic resonance (SR), the unavoidable noise can, however, be applied to enhance the system output. The classical SR phenomenon requires small parameters, which is not suited for bearing defect diagnosis since the defect-induced frequency of a bearing is...
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