Research on Stochastic Resonance Method Based on Bee Colony Algorithm and its Application to Bearing Fault Diagnosis

Abstract:

The background noise makes it difficult to detect incipient faults through vibration analysis. The stochastic resonance (SR) method can be applied to enhance the signal-to-noise ratio (SNR) of a system output using the unavoidable environmental noise. The parameters selection is the most important to generate SR. The proposed fault diagnosis method utilizes the artificial bee colony algorithm to find the best parameters of SR so as to match input signals and detect faults. The performance of the proposed method is confirmed as compared to the fixed parameters method.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 374-378
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.374
• Online since: April 2014
• Authors: Xiang Huan Cui*, Yong Ying Jiang, Hai Feng Gao, Jia Wei Xiang
• Keywords: Artificial Bee Colony Algorithm, Bearing, Fault Diagnosis, Signal to Noise Ratio, Stochastic Resonance Method

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