A Comparative Assessment on the Application of Knowledge-based Networks and Genetic Algorithms to the Design of Fuzzy Diagnosis Systems for Rotating Machinery

Author:

Salido Jesús Manuel Fernández,Murakami Shuta

Publisher

Springer London

Reference11 articles.

1. Dubois D., Prade H. and Testemale C. (1988) Weighted Fuzzy Pattern Matching. Fuzzy Sets and Systems 28, 313–331

2. Fernandez J.M. and Murakami S. (2000) Construction of Fuzzy Diagnosis Rules for Rotating Machinery using Vibration Analysis and Knowledge-Based Networks. 6th International Conference on Soft Computing IIZUKA 2000, Iizuka, Japan

3. Fernandez J.M. and Murakami S. (2000) A Proposal for the Automatic Design of Fuzzy Diagnosis Systems for Rotating Machinery. Proceedings of COMADEM’2000, 13th International Congress on Condition Monitoring and Diagnostic Engineering Management, Houston, Texas, USA, 755–764

4. Fernandez J.M. and Murakami S. (2001) Application of Fuzzy Pattern Matching and Genetic Algorithms to Rotating Machinery Diagnosis. Practical Applications of Soft Computing in Industry, edited by Sung Bae-Cho, World Scientific, Singapore, 255–285.

5. Frank, P.M. and Marcu, T. (1999) Fuzzy Techniques in Fault Detection, Isolation and Diagnosis. Fuzzy Logic Control-Advances in Applications, edited by H.B. Verbruggen and R. Babuska, World Scientific, Singapore 239–258.

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