Cheng‐Wei Fei
Papers
4
Total Citations
154
H-Index
4
About
Dr. Cheng-Wei Fei is a leading researcher in the field of mechanical reliability engineering, with a specific focus on the probabilistic analysis and motion reliability of flexible mechanisms and multibody systems. His major contributions lie in developing advanced computational models that dramatically improve the efficiency and accuracy of transient reliability evaluation. Dr. Fei pioneered the integration of intelligent algorithms—such as dynamic fuzzy neural networks, particle swarm optimization (PSO), and Bayesian regularization (BR)—with extremum response surface methods to solve complex, time-dependent probabilistic problems. His 2020 work on an enhanced network learning model with an intelligent operator has garnered 82 citations, while his 2017 dynamic neural network method with improved PSO and BR algorithms has been cited 55 times. Notably, his distributed collaborative strategy using dynamic fuzzy neural networks and his genetic algorithm-based extremum neural network (GA-ENN) represent significant methodological advances, enabling more reliable design and operation of flexible machinery. Through these innovations, Dr. Fei has established himself as a key figure in bridging artificial intelligence with mechanical reliability, providing engineers with powerful tools for safer, more durable system design.
Research Focus
Key Achievements
Top Papers
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