Remote monitoring and diagnosis for control of EDM parameters

Abstract

M.Ing.This thesis presents the concept of remote (Internet) data acquisition and processing for control of EDM parameters. It incorporates aspects of data analysis while performing diagnosis of process behavior. A working neuro-macro model of the EDM process is utilized for process correlation and diagnosis recommendations. The approach allows selective ways to vary the EDM process performance. The focus in this work is on the process efficiency. The process efficiency is related to the input parameters through the neuro-macro model of the EDM process. A comprehensive description of on-line monitoring and processing of data is included. Experimental results based on the suggested analysis and diagnosis for possible process adaptation particularly with respect to the EDM process efficiency is presented