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Title:A Process Model-Based Monitoring and Fault Diagnosis Methodology for Free-Form Surface Machining Process
Author(s):Zhu, Rixin
Doctoral Committee Chair(s):DeVor, Richard E.; Kapoor, Shiv G.
Department / Program:Mechanical Engineering
Discipline:Mechanical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Industrial
Abstract:Based on the process model, a fault detection and fault diagnosis methodology is proposed. The method has the capability of not only detecting the presence but also identifying the magnitudes of faults, which include flute chipping, breakage and spindle/cutter axes runout. A threshold-based fault detection method is developed based on the analysis of harmonic power distribution in the cutting force signal. A genetic algorithm approach is used to search and determine the fault pattern and magnitudes. The results obtained from these methods are validated through both steady state and free-form surface machining tests on 1018 steel.
Issue Date:2001
Description:170 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
Other Identifier(s):(MiAaPQ)AAI9996710
Date Available in IDEALS:2015-09-25
Date Deposited:2001

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