Abstract
Unlike the earlier research works which only focused on fault diagnosis, in this paper a smart fault preventive step is taken in avoiding some category of failures which may be predicted at the initial stage of CNC operation before a fault is diagnosed. Besides this, the domain of fault diagnosis has also been expanded by incorporating human error which was not part of the earlier system. This is the first phase of the study and a comprehensive fault diagnosis expert system algorithm for CNC machine is going to be designed, which can later on be transformed into a knowledge-based intelligent computer applications program. This will be accomplished by consulting experts on various aspects of CNC operations.
Highlights
The failure of CNC refers to the numerical control machine losing functionality wholly or partially
The point of CNC machine fault diagnosis is to make a precise estimation on the failure of the machine in a short time, that is to say to identify the faulty part or parts and the reasons of the failure through troubleshooting
Failure prediction and fault diagnosis have received a lot of attention from the research community and a lot of research has been conducted in this regard
Summary
The failure of CNC refers to the numerical control machine losing functionality wholly or partially. Owing to the various kinds of functions in CNC such the involvement of electronics, machinery, hydraulics, pneumatics, optics and many others, it is difficult to repair and diagnose numerical control machines. Once the machine is broken, it is difficult for the professional to find the reason for the breakdown in a short time or even repair fast, which this hinders productivity. The point of CNC machine fault diagnosis is to make a precise estimation on the failure of the machine in a short time, that is to say to identify the faulty part or parts and the reasons of the failure through troubleshooting
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