Self-Adaptive Stochastic Resonance Rub-Impact Fault Identification Grounded on a New Signal Evaluation Index

A novel comprehensive method for weak signal blind detection based on adaptive quasi-periodic potential stochastic resonance and its application in bearing fault detection

“…At this point, it is necessary to construct a blind detection index without a prior knowledge to accurately quantify the system performance, which is very meaningful in engineering applications. Some scholars in the field have proposed some blind detection indicators, such as piecewise mean value (PMV) [27], sum of margin and waveform factor (N f ) [28], weighted kurtosis (WK) [29], weighted residual regression index [30], statistical complexity measures [31]. However, all of these indicators only extract the characteristics of the periodic signal in a single domain, which is a one-sided evaluation of the signal characteristics and does not provide a good reproduction of the actual output performance of the system.…”