Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning ProcessReport as inadecuate




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In this study, an effective search methodology based on fuzzy logic is applied to narrow down search range for the possible breakdown causes. Moreover a genetic algorithm GA is employed to directly find the intervals of solution to the inverse fuzzy inference problem during diagnosis procedure. Through the assistance of the developed intelligent diagnosis system, an inspector can be easier and more effective to find various possible occurred breakdown causes by judging from the observed symptoms during manufacturing process. An application of the developed intelligent diagnosis system to tracing the breakdown causes occurred during spinning process is reported in this study. The results show that the accuracy and efficiency of the diagnosis system are as promising as expected.

KEYWORDS

Fuzzy Logic, Inverse Fuzzy Inference, Genetic Algorithm, Breakdown Diagnosis

Cite this paper

Lin, J. , Chuang, C. and Ko, C. 2017 Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning Process. Intelligent Information Management, 9, 21-38. doi: 10.4236-iim.2017.91002.





Author: Jeng-Jong Lin1,2, Che-Jen Chuang1, Chih-Feng Ko1

Source: http://www.scirp.org/



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