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University of Illinois at Urbana-Champaign
A Process Model-Based Monitoring and Fault Diagnosis Methodology for Free-Form Surface Machining Process
Abstract
dc:descriptionBased 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Mechanical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Zhu, Rixin
- Contributors dc:contributor
-
- DeVor, Richard E.
- Kapoor, Shiv G.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9996710
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/84021