Research Of Intelligent Condition Monitoring System For Wire Electronic Discharge Machine

Numeral control machine tool is the representative application of numeral control technology in industrial manufacturing; the intelligence of the numeral control machine tool is the evolutional orientation of numeral control technology. Numeral control machine tool condition monitoring and fault diagnosis system is the important part of the intelligence of numeral control machine, so this paper has not only the theoretic significance but also explicit applying background.A lot of natural and international condition monitoring and fault diagnosis technology are studied, the running rule of the numeral control machine tool is studied based on wire electric discharge machine (WEDM), a intelligent condition monitoring system for WEDM is designed. In this system, computer is the principal part, representative parameters of the running WEDM were acquired at real-time by sensors, they were filtered and analyzed at real-time, the working state of the WEDM electrode wire was also recognized by artificial neural networks (ANN), the concept of running compositive condition severity factor was bring forward in this paper, the running state of the WEDM was evaluated effectively.Data acquisition, signal processing, condition monitoring are concentrated in this system, it is the main part of the condition monitoring and fault diagnosis system for WEDM. Experiments of WEDM electrode wire working state recognizing and WEDM running compositive condition severity factor evaluating have been carried out on SCX- II WEDM, the experimental results indicated that this system could acquire the representative parameters of the running WEDM in real-time, could recognize the working state of the electrode wire correctly, could evaluate the running state with the representative parameters objectively, it is also proved the validity and feasibility of the intelligent condition monitoring system.