• Title/Summary/Keyword: fault severity assessment

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The Evaluation of Inspection Period based on Reliability in Railway Traction Power Systems (철도급전시스템의 신뢰도기반 점검주기 산정)

  • Kim, Hyungchul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.8
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    • pp.1177-1183
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    • 2013
  • In this paper, the analysis of inspection period bases on reliability is suggested in the field of traction power system. Even though there are several maintenance models, the most commonly used maintenance assessment has been focused on time based maintenance in real traction power systems. The maintenance intervals are selected on the basis of long-time experience. It ensures high availability and exact planning of staff. Reliability centered maintenance, which evaluates criticality and severity of each failure mode, achieves the operation, maintenance, and cost-effective improvement that will manage the risks of equipment. This paper deals with electrification in railway inspection frequency and applied reliability based inspection frequency instead of constant intervals. The distribution function of failure rate in traction power system belongs to Weibull function. Also, the fault data and the number of installed equipments for electrifications are collected. The failure history is investigated and classified in detail. Though these complicated procedures, it contribute to extend equipment lifetime and to reduce maintenance costs.

A Study on the Methods of Fault Analysis to Improve Safety in U-Healthcare System for Managing Emergency Rescue for Seniors (시니어들의 응급구난 관리를 위한 U-Healthcare시스템에서 안전성 개선을 위한 결함 분석 방법에 관한 연구)

  • Kim, Gyu-A;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.17 no.2
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    • pp.170-179
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    • 2014
  • Recently the U-Healthcare system has been rapidly advanced to manage emergence rescue for seniors. We can access emergency rescue systems with high quality services anytime, anywhere under ubiquitous healthcare systems. The more the various systems develop, the more software security systems become important. Therefore, the safety-critical system has been widely spread to the world by advancement of the information and communication technologies. There are a lot kind of fault analysis methods to evaluate software security systems. However due to characteristics of software that is not applied by human error, it can be prevented the enormous damages and losses from improving the safety of safety-critical system. So this paper proposes an integration method of FTA and Forward and Backward FMECA. This method has each strength of FTA and FMECA which is visual and numeric in normalization. First, by use of FTA, we can redraw FTA with Forward FMECA and Backward FMECA in consideration of occurrence, severity, detection, correctness, robustness, and security. Also according to value of NRVP at each event, we can modify FTA diagrams as shown critical paths given by severity and occurrence. Also, we propose the improved emergency rescue service platform of ubiquitous healthcare systems through identifying priorities of the criticality according to normalized risk priority values (NRPV).

Model-based Diagnosis for Crack in a Gear of Wind Turbine Gearbox (풍력터빈 기어박스 내의 기어균열에 대한 모델 기반 고장진단)

  • Leem, Sang Hyuck;Park, Sung Hoon;Choi, Joo Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.26 no.6
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    • pp.447-454
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    • 2013
  • A model-based method is proposed to diagnose the gear crack in the gearbox under variable loading condition with the objective to apply it to the wind turbine CMS(Condition Monitoring System). A simple test bed is installed to illustrate the approach, which consists of motors and a pair of spur gears. A crack is imbedded at the tooth root of a gear. Tachometer-based order analysis, being independent on the shaft speed, is employed as a signal processing technique to identify the crack through the impulsive change and the kurtosis. Lumped parameter dynamic model is used to simulate the operation of the test bed. In the model, the parameter related with the crack is inversely estimated by minimizing the difference between the simulated and measured features. In order to illustrate the validation of the method, a simulated signal with a specified parameter is virtually generated from the model, assuming it as the measured signal. Then the parameter is inversely estimated based on the proposed method. The result agrees with the previously specified parameter value, which verifies that the algorithm works successfully. Application to the real crack in the test bed will be addressed in the next study.