Browse > Article
http://dx.doi.org/10.3795/KSME-A.2010.34.9.1281

RCM Based Failure-Prediction System for Equipment  

Song, Gee-Wook (Korea Electric Power Corporation, Research Institute)
Kim, Bum-Shin (Korea Electric Power Corporation, Research Institute)
Choi, Woo-Sung (Korea Electric Power Corporation, Research Institute)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.34, no.9, 2010 , pp. 1281-1286 More about this Journal
Abstract
Power plants have many components and equipment. It is difficult for operators to know the time of failure or the equipment that fails. Plants incur heavy economic losses due to unexpected failure. The equipment in power plants is constantly monitored by various sensors and instruments. However, prevention of failure is very difficult. Therefore, engineers are developing many types of failure-alarm systems that can detect the abnormal functioning of equipment. Such failure-alarm systems inform only about the abnormal functioning of equipment and do not indicate the cause of failure or the parts that have failed. In this study, we have developed a failure-prediction system that can provide details on the cause of trouble and the maintenance method.
Keywords
Reliability Centered Maintenance; Prediction Maintenance; Failure Prediction System; Condition Based Maintenance;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Hines, J.W., Garvey, D., Seibert, R. and Usynin, A., 2005, "Technical Review of On-line Monitoring Techniques for Performance Assessment," U.S. Nuclear Regulatory Commission, pp. 13-54.
2 Sturm, F.A., 2003, "Efficient Operations Intelligent Diagnosis and Maintenance," VGB Power Tech Service Gmbh, pp. 125-166.
3 Gabbar, H. A., Yamashita, H., Suzuki, K. and Shimada, Y., 2003, "Computer-Aided Rcm-Based Plant Maintenance Management System," Robotics and Computer-Integrated Manufacturing, Volume 19, Issue 5, pp. 449-458.   DOI   ScienceOn
4 Gabbar, H. A., Suzuki, K. and Shimada, Y., 2001, "Design Considerations of Computer-aided RCMBased Plant Maintenance Management System," Computer Aided Chemical Engineering, Volume 9, pp. 859-864.   DOI
5 Smith, A. M., Vasudevan, R. V., Matteson, T. D. and Gaertner, J. P., 1987, "Enhancing Plant Preventive Maintenance via RCM," Proc. a. Reliab. Maintainab. Symp., Microelectronics Reliability, Volume 27, Issue 4, p. 785.
6 Herder, P.M., van Luijk, J.A. and Bruijnooge, J., 2008, "Industrial Application of RAM Modeling: Development and Implementation of a RAM Simulation Model for the Lexan${\circledR}$plantatGEIndustrial, Plastics," Reliability Engineering & System Safety, Volume 93, Issue 4, pp. 501-508.   DOI   ScienceOn
7 Martorell, S., Muñoz, A. and Serradell, V., 1995, "An Approach to Integrating Surveillance and Maintenance Tasks to Prevent the Dominant Failure Causes of Critical Components," Reliability Engineering & System Safety, Volume 50, Issue 2, pp. 179-187.   DOI   ScienceOn