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A Study on Machine Fault Diagnosis using Decision Tree
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 Title & Authors
A Study on Machine Fault Diagnosis using Decision Tree
Nguyen, Ngoc-Tu; Kwon, Jeong-Min; Lee, Hong-Hee;
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The paper describes a way to diagnose machine condition based on the expert system. In this paper, an expert system-decision tree is built and experimented to diagnose and to detect machine defects. The main objective of this study is to provide a simple way to monitor machine status by synthesizing the knowledge and experiences on the diagnostic case histories of the rotating machinery. A traditional decision tree has been constructed using vibration-based inputs. Some case studies are provided to illustrate the application and advantages of the decision tree system for machine fault diagnosis.
Decision tree;Expert system;Fault diagnosis;Machine;Vibration;
 Cited by
A dual sensor signal fusion approach for detection of faults in rotating machines, Journal of Vibration and Control, 2017, 107754631668964  crossref(new windwow)
System availability enhancement using computational intelligence–based decision tree predictive model, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2015, 229, 6, 612  crossref(new windwow)
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