• Title/Summary/Keyword: Motor Torque Signature

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Non-Invasive Diagnostic Singature Extraction for Motor-Operated Valves (모터 구동 밸브의 비침투 진단 신호 추출에 관한 연구)

  • ;Richard H. Lyon
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.360-364
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    • 1994
  • This paper is concerned with extracting the diagnostic signature for motor-operated valves (MOV's) noninvasively. A torque estimator is developed and tested to obtain electical torque of the induction motors which are attached to the MOV's. Inverse filter is used to recover the gear meshing forces from the measured actuator housing vibration, which contain the gear rotation information. Frequency demodulation techniques are performed and an adaptive linear bandpass filter is implemented to improve signal-to-noise ratio. Finally, stand-alone valve experiments are carried out to validate the signature extraction scheme.

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MOTOR CONTROL CENTER (MCC) BASED TECHNOLOGY STUDY FOR SAFETY-RELATED MOTOR OPERATED VALVES

  • Kang, Shin-Cheul;Park, Sung-Keun;Lee, Do-Hwan;Kim, Yang-Seok
    • Nuclear Engineering and Technology
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    • v.38 no.2
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    • pp.155-162
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    • 2006
  • It is necessary to monitor periodically the operability of safety-related motor-operated valves (MOVs) in nuclear power plants. However, acquiring diagnostic signals for MOVs is very difficult, and doing so requires an excessive amount of time, effort, and expenditure. This paper introduces an accurate and economical method to evaluate the performance of MOVs remotely. The technique to be utilized includes electrical measurements and signal processing to estimate the motor torque and the stem thrust, which have been cited as the two most effective parameters in diagnosing MOVs by the US Nuclear Regulatory Commission. The motor torque is calculated by using electrical signals, which can be measured in the motor control center (MCC). Some advantages of using the motor torque signature over other signatures are examined. The stem thrust is calculated considering the characteristics of the MOV and the estimated motor torque. The basic principle of estimating stem thrust is explained. The developed method is implemented in diagnostic equipment, namely, the Motor Operated Valve Intelligent Diagnostic System (MOVIDS), which is used to obtain the accuracy of and to validate the applicability of the developed method in nuclear power plants. Finally, the accuracy of the developed method is presented and some examples applied to field data are discussed.

Analysis of Thrust/Torque Signature of MOV (원자력 발전소 모터구동밸브의 쓰러스트/토크 신호 분석)

  • Ryu, Ho-Geun;Park, Seong-Keun;Kim, Dae-Woong
    • Proceedings of the KSME Conference
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    • 2001.06e
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    • pp.613-618
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    • 2001
  • For the evaluation of operability of MOV(Motor Operated Valve), the precision prediction of thrust/torque acting on the valve is important. In this paper, the analytical prediction method of thrust/torque was proposed. The design basis stem thrust calculation typically considers the followings: Packing thrust, Stem rejection load, design basis differential pressure load. In general, test results show that temperature, pressure, fluid type, and differential pressure, independently and combination, all have an effect on the friction factor. The prediction results of thrust/torque are well agrement with dynamic test results.

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A Study on Bearing Diagnosis of Induction Motor using Torque Signature (유도 전동기의 토크신호를 이용한 베어링 고장진단 연구)

  • Hong, Young-Hee;Seon, Hyun-Gyu;Park, Jin-Yeub
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.638_639
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    • 2009
  • The motors faults including mechanical rotor imbalances, broken rotor bar, bearing failure and eccentricities problems are reflected in electric, electromagnetic and mechanical quantities. This paper presents a study and the practical implementation of an induction motor for reactor containment fan cooler in nuclear power plant with Electric Signature Analysis(ESA). The results obtained present a good degree of reliability hence; the ESA predictive maintenance tools enable a pro-active evaluation of induction motors performance prior to failure.

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