Associate Professor | Kunming University of Science and Technology | China
Assoc. Prof. Dr. Zhile Wang is an Associate Professor at Kunming University of Science and Technology specializing in condition monitoring and intelligent maintenance of rotating machinery, with a strong focus on nonlinear stochastic dynamics and control. His research addresses complex fault diagnosis challenges in rotating systems, particularly planetary bearings, through advanced signal processing and dynamic modeling approaches. He has proposed innovative methods based on tunable Q-factor wavelet transform (TQWT), optimal parameter selection indices, bandwidth-constrained decomposition strategies, and enhanced subband signal extraction using composite stochastic resonance techniques. These contributions significantly improve noise suppression and weak fault feature extraction under harsh operating conditions. His work has been widely recognized in leading international journals in mechanical engineering, acoustics, and instrumentation, with multiple publications identified as highly cited. Collectively, his research advances the reliability, safety, and intelligence of modern rotating machinery systems.
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