Author(s)

Jeng-Jong Lin^1,2, Che-Jen Chuang¹, Chih-Feng Ko¹

¹Department of Tourism and Leisure Management, Vanung University, Taoyuan City.
²Department of Information Management, Vanung University, Taoyuan City.

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.

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

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.