Improved multi-faults diagnosis for CNC machine tools

According to the complex characteristics of multi-faults diagnosis for computer numerical control (CNC) machine tools, graph theory method has been researched. Mapping graph for multi-faults has been built and processed by the matrix algorithms and hierarchy algorithms. The improved failure mode and effect analysis (FMEA) based on the grey correlation theory has been used to improve the accuracy of fault locations. The results are sorted to determine the priority of potential faults. In this paper, graph theory method and the improved FMEA have been tested by using the example of ram feed system of CNC boring machine tools FB260.

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