Title :
Fault diagnosis of numerical controlled machine based on comprehensive fuzzy method
Author :
Huijuan Hao ; Maoli Wang ; Fengqi Hao ; Zhengwei Wang
Author_Institution :
Shandong Comput. Sci. Center, Nat. Supercomput. Center in Jinan, Jinan, China
Abstract :
To make up the shortcoming of numerical controlled machine fault diagnosis, a comprehensive fuzzy decision-making method is proposed in this paper. The new method combines fault phenomenon with fault reason. Based on the theory of fuzzy mathematics, the fuzzy relationship model between fault phenomenon and reason is established. And the comprehensive fuzzy diagnosis is realized with T-S model. Based on the experience of multi-experts, the proposed method improves the reliability of diagnosis, and provides convenient for practical repair of numerical controlled machine.
Keywords :
fault diagnosis; fuzzy control; fuzzy set theory; maintenance engineering; numerical control; T-S model; comprehensive fuzzy decision-making method; comprehensive fuzzy diagnosis; diagnosis reliability improvement; fault phenomenon; fault reason; fuzzy mathematics; fuzzy relationship model; numerical controlled machine fault diagnosis; numerical controlled machine repair; Analytical models; Computational modeling; Fasteners; Fault diagnosis; Maintenance engineering; Mathematical model; Numerical models; T-S model; comprehensive fuzzy diagnosis; fault diagnosis; numerical controlled machine;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
DOI :
10.1109/ROBIO.2014.7090635
