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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
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Detection and diagnosis methods for CNC machine randomness faults
MA Zongmin, DU Zhengmao, JIN Zhan
(YTO Diesel Engine Co., Ltd., Luoyang 471003, China)
Abstract: Aiming that CNC machine maintenance personnel often meet stochastic malfunction, and repair work often can not be done, it was analyzed that what was causing trouble fault and the randomness of the two reasons. Combined with typical examples and the equipment fault, five kinds of based on this kind of fault detection and diagnosis methods were introduced. It was key explained in mastery of CNC machine logic diagram, timing diagram and the trees case, establishing the correct maintenance ideas, how to find fault. At the same time the notes were explained that should pay attention to when maintenance safety matters. The results indicate that the methods presented is easy to grasp and operate. These methods to maintenance personnel work has certain significance, it is a systematic summary to randomness fault.
Key words: computer numerical control(CNC); randomness faults; detection diagnosis method