Condition Monitoring of Rotating Machine with a Change in Speed Using Hidden Markov Model

Title
Condition Monitoring of Rotating Machine with a Change in Speed Using Hidden Markov Model
Authors
장미이종민황요하조유종송재복
Keywords
Hidden Markov Model; Rotating Machine; Condition Monitoring; Compensation of Rotational Speed; 은닉 마르코프 모델; 회전 기계; 상태 진단; 회전 속도 보상
Issue Date
2012-05
Publisher
한국소음진동공학회논문집
Citation
VOL 22, NO 5, 413-421
Abstract
In industry, various rotating machinery such as pumps, gas turbines, compressors, electric motors, generators are being used as an important facility. Due to the industrial development, they make high performance(high-speed, high-pressure). As a result, we need more intelligent and reliable machine condition diagnosis techniques. Diagnosis technique using hidden Markov-model is proposed for an accurate and predictable condition diagnosis of various rotating machines and also has overcame the speed limitation of time/frequency method by using compensation of the rotational speed of rotor. In addition, existing artificial intelligence method needs defect state data for fault detection. hidden Markov model can overcome this limitation by using normal state data alone to detect fault of rotational machinery. Vibration analysis of step-up gearbox for wind turbine was applied to the study to ensure the robustness of diagnostic performance about compensation of the rotational speed. To assure the performance of normal state alone method, hidden Markov model was applied to experimental torque measuring gearbox in this study.
URI
http://pubs.kist.re.kr/handle/201004/44055
ISSN
15982785
Appears in Collections:
KIST Publication > Article
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