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28 August 1995 Diagnostic model for mechanical wear state based on fuzzy neural network and its application
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Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217538
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
Abstract
An intelligent diagnostic model for mechanical wear state based on a fuzzy neural network is proposed. The model can handle input features presented in quantitative and/or linguistic form and classify patterns in terms of fuzzy class membership values. This allows efficient modeling of fuzzy diagnosis of mechanical wear state in terms of the Ferrogram Analysis Report Sheet. The application of the model to the diagnosis of wear state of diesel engines is demonstrated. The results are very satisfactory.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hua Liang and Mingzhong Yang "Diagnostic model for mechanical wear state based on fuzzy neural network and its application", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217538
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