Abstract
EDM (electrical discharge machining) is a very complicated and stochastic process. It is very difficult to monitor its working conditions effectively as lacking adequate knowledge on the discharge mechanism. This paper proposed a new method to monitor this process. In this method, electrical impedance between the electrode and the workpiece was taken as the monitoring signal. Through analyzing this signal and using a fuzzy reasoning system as classifier, sparks and arcs were differentiated effectively, which is difficult when using other conventional monitoring methods. The proposed method first partitions the collected voltage and current trains into separated pulses using Continuous Wavelet Transform. Then apply Hilbert Transform and calculate electrical impedance of each pulse. After that, extract features from this signal and form a feature vector. Finally a fuzzy logic reasoning system was developed to classify the pulses as sparks and arcs.
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© 2003 Springer-Verlag Berlin Heidelberg
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Zhiyun, X., Shih-Fu, L. (2003). The Application of Fuzzy Reasoning System in Monitoring EDM. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_95
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DOI: https://doi.org/10.1007/978-3-540-45224-9_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
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