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http://dx.doi.org/10.5050/KSNVN.2008.18.6.619

A Fault Diagnosis on the Rotating Machinery Using MTS  

Park, Sang-Gil (한양대학교 대학원 기계공학과)
Park, Won-Sik (한양대학교 대학원 기계공학과)
Lee, You-Yub (호원대학교 자동차기계공학부)
Kim, Dong-Sub (MK전자 공정기술팀)
Oh, Jae-Eung (한양대학교 기계공학부)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.18, no.6, 2008 , pp. 619-623 More about this Journal
Abstract
As higher reliability and accuracy on production facilities are required to detect incipient faults, a diagnostic system for predictive maintenance of the facility is highly recommended. In this paper, it presents a study on the application of vibration signals to diagnose faults for a rotating machinery using the Mahalanobis distance-Taguchi system. RMS, crest factor and Kurtosis that is known as the statistical methods and the spectrum analysis are used to diagnose faults as parameters of Mahalanobis distance.
Keywords
Statistical Method; Fault Diagnosis; MTS;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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