Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 47; no. 7; pp. 1111 - 1122
• Main Authors: Lu, Siliang, He, Qingbo, Yuan, Tao, Kong, Fanrang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-07-2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acoustic signal processing; Adaptation; Adaptive algorithms; Adaptive filters; Adaptive systems; Algorithms; ball bearings; Bearings; Brushes; Brushless DC motors; Brushless motors; D C motors; dc motors; Digital signal processing; embedded software; Embedded systems; Fault diagnosis; Induction motors; Motors; Noise reduction; optimization methods; Permanent magnet motors; Platforms; Portable equipment; Probability theory; Product design; Signal to noise ratio; stochastic resonance (SR)
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2016.2531692

Digital signal processing algorithms are widely adopted in motor bearing fault diagnosis. However, most algorithms are developed on desktop platforms, and their focus is on the analysis of offline captured signals. In this paper, a simple and easily implemented algorithm running on an embedded system is proposed for the online fault diagnosis of motor bearing. The core part of the algorithm is a stochastic-resonance-based adaptive filter that realizes signal denoising and adaptation of the filter coefficient. Processed by the filter, the period of the purified signal is obtained, and then the fault type of the motor bearing is identified. The proposed method has distinct merits, such as low computational cost, online implementation, contactless measurement, and availability for various speed motors. This paper provides a simple, flexible, and effective solution for conducting motor bearing diagnosis on an embedded/portable device. The algorithm proposed is validated by a brushless dc motor and a brushed dc motor fabricating with defective/healthy support bearings.