Malfunction Diagnosis of Scrolling Bearing Based on CS-BP

摘要

For the old intelligent malfunction diagnosis method has the problem of low diagnostic precision in the malfunction diagnosis of scrolling bearings, a heuristic search algorithm, cuckoo searching algorithm (CS) is proposed to optimize the BP network, so as to improve the diagnostic precision. First, utilize the BP network to construct scrolling bearings' malfunction diagnosis classification model, secondly, utilize the cuckoo searching algorithm to optimize the BP's weight and finally, utilize the optimized BP network for malfunction diagnosis. Simulating effects indicate that this means has better sort effect and is suitable for malfunction diagnosis of scrolling bearing. It has certain practicability.