• Title/Summary/Keyword: Equipment Failure

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Power Distribution System Equipment Failure Rate Analysis for Reliability Estimation (신뢰도 평가를 위한 배전계통 설비기기 고장률 분석)

  • Lee, Hee-Tae;Kim, Jae-Chul;Moon, Jong-Fil;Park, Chang-Ho
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2004.05a
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    • pp.370-373
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    • 2004
  • The inside and outside of the country utilities considered that they focused energy and economic aspect for short-term in new environment change of restructure. but it need service reliability preservation and improvement countermeasure, that is no to use existent estimation method for reliability preservation. therefore, analyze the equipment failure rate for suitable reliability preservation through equipment failure rate analysis of power distribution r system and evaluated equipment that is composing power distribution system by the failure rate. This paper estimated failure causes and the TVFR(Time Varying Failure Rate) for main equipment that is composing power distribution system using Weibull distribution.

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Application of 5678SMRT Real-time Monitoring system (도시철도 실시간 모니터링 시스템 적용 사례)

  • Yoon, Jae-Kwan;Park, Jong-Hun;Kim, Ki-Chun
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.737-747
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    • 2011
  • 5678SMRT has installed various sensor for operating conditions(field of electric, facilities, signal, communication equipment and track) and environment of Every Function Room for remotely detecting and monitoring. Installed sound sensor for analyzed after remotely heard the noise of every equipment at Every Function Room and temperature sensor for check the temperature condition of Every Function Room. Additional installed voltage sensor in signal equipment room for monitoring RF track-circuit's voltage condition. Installed displacement sensor at The Chungdam bridge's railway for measuring and monitoring track displacement caused by temperature change and Pan/Tilt camera at sub-station and drainage for remotely field monitoring. Installed sensor for each equipment's operating condition and failure at Every Function Room then periodic check of workforce turned to around-the-clock surveillance by sensor therefore improvement of operating equipment. SMRT is lots of prevent a failure by Immediately detect of precondition of equipment failure by analyzed the sensor data. If the occurrence of an failure, become detected Immediately so possibility correct diagnosis and order by remotely field check by installed camera and sound sensor at field.

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Determining the Optimum Maintenance Period of the Steel Making Equipment Having Multiple Failure Types (다수의 고장유형을 갖는 제철설비의 최적 정비주기 산출)

  • Song, Hong-Jun;Jun, Chi-Hyuck
    • IE interfaces
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    • v.16 no.1
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    • pp.27-33
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    • 2003
  • The maintenance cost in K Steelworks has been continuously increased in proportion to the production cost. However, there seems to be a possibility of reducing cost through the optimization of maintenance actions. The failure types of the equipment in steelworks ate various with different failure cost. Thus the failure rate and cost of each type of failures should be considered simultaneously when the optimum maintenance period is to be determined. It is considered that the equipment undergoes periodic replacement and a specified number of incomplete preventive maintenance actions are performed during a replacement period. Assuming that the time to failure follows a Weibull distribution, the parameters of the failure rate are estimated using the maximum likelihood estimation. The optimal replacement period is determined to minimize the average cost per unit time. As the result of analysis it is suggested that the existing maintenance period for a hot-rolling equipment can be extended significantly.

RCM Based Failure-Prediction System for Equipment (RCM 기반 설비 고장 예측시스템)

  • Song, Gee-Wook;Kim, Bum-Shin;Choi, Woo-Sung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.9
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    • pp.1281-1286
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    • 2010
  • 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.

A Study on Failure Rate Extraction of Distribution System Equipment considering Regional Characteristics (지역특성을 고려한 배전설비 고장률 산출에 관한 연구)

  • Choi, Kyu-Wan;Chai, hui-Seok;Moon, Jong-Fil
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.3
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    • pp.199-203
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    • 2016
  • The cost needed to managing equipment is constantly increasing because of increase of power equipment. The regulations such as PAS 55 and ISO 55000 were enacted to manage equipment assets. The advanced management methods such as real-time monitoring, condition evaluation, and health indices are avalable in generation system, transmission system, and substation transformers. However, These methods can not be applied to distribution equipment because of a lot of equipment. Therefore reliability assessment is very important in case of distribution equipment. In this paper, failure rates are extracted considering characteristics of regions, and which are the essential factors to reliability evaluation.

The Two-State Dynamic Equipment Replacement Model (2상태 동적 설비교체 모형)

  • Jang Hyun-Ki;Kim Chang-Eun
    • Proceedings of the Safety Management and Science Conference
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    • 2004.11a
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    • pp.115-123
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    • 2004
  • Replacement problems can be classed as either deterministic of stochastic. Deterministic problems are those in which the timing and the outcome of the replacement action are assumed to be known with certainty. Before proceeding with development of replacement models it is important to note that preventive replacement actions, that is, ones taken before equipment reaches a failed state, require two necessary conditions: (1) The total cost of the replacement must be greater after failure than before. (2) The failure rate of the equipment must be increasing. Equipment is subject to failure. On failure, one of two possible actions can be taken : repair or complete replacement of the failed equipment. In this paper, we proposed optimal overhaul, repair, replacement maintenance model with two-state.

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A Study on the Optimal Equipment Selection of Series Systems using Life Cycle Cost and Failure Cost (Failure Cost와 Life Cycle Cost를 고려한 연속시스템에 대한 최적 장치 선택에 관한 연구)

  • Jin Sang-Hwa;Kim Yong-Ha;Song Hee-Oeul;Yeo Yeong-Koo;Kim In-Won
    • Journal of the Korean Society of Safety
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    • v.19 no.4 s.68
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    • pp.55-59
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    • 2004
  • In this study, the required life cycle cost is evaluated in consideration of the equipment's availability during its lift cycle. In order to meet the maximum availability required by the process, the failure cost and life cycle cost is assessed The optimal equipment selection method is presented according to the analysis of the failure cost and life cycle cost. For the systems in which equipments are connected serially, the optimal equipments are selected by minimizing the life cycle cost and satisfying the required system availability goal. In addition, the selection methods and lift cycle cost are analyzed according to the cost variation of the equipment. By using the life cycle evaluation procedure, the failure cost and maintenance cost needed during the life cycle of the equipment can be presented.

Remote Fault Diagnosis Method of Wind Power Generation Equipment Based on Internet of Things

  • Bing, Chen;Ding, Liu
    • Journal of Information Processing Systems
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    • v.18 no.6
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    • pp.822-829
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    • 2022
  • According to existing study into the remote fault diagnosis procedure, the current diagnostic approach has an imperfect decision model, which only supports communication in a close distance. An Internet of Things (IoT)-based remote fault diagnostic approach for wind power equipment is created to address this issue and expand the communication distance of fault diagnosis. Specifically, a decision model for active power coordination is built with the mechanical energy storage of power generation equipment with a remote diagnosis mode set by decision tree algorithms. These models help calculate the failure frequency of bearings in power generation equipment, summarize the characteristics of failure types and detect the operation status of wind power equipment through IoT. In addition, they can also generate the point inspection data and evaluate the equipment status. The findings demonstrate that the average communication distances of the designed remote diagnosis method and the other two remote diagnosis methods are 587.46 m, 435.61 m, and 454.32 m, respectively, indicating its application value.

MAINTENANCE OF UNRELIABLE SYSTEMS

  • Murthy, D.N.P.
    • Proceedings of the Korean Reliability Society Conference
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    • 2004.04a
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    • pp.83-94
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    • 2004
  • Businesses use a variety of equipment to produce output and services. Equipment unreliable - failure due to failure of one or more components. Most equipment are complex systems (a truck has more than 15,000 components, an aircraft has 4.5 million components)(omitted).

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Economic Design of A Zero-Failure Reliability Demonstration Test Considering Capacity Limitation of Test Equipment (시험 장비의 용량제한을 고려한 무고장 신뢰성 시험의 경제적 설계)

  • Han, Sook Hyun;Yun, Won Young;Seo, Sun Keun
    • Journal of Korean Society for Quality Management
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    • v.49 no.3
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    • pp.341-358
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    • 2021
  • Purpose: After product development, a Reliability Demonstration Test(RDT) is performed to confirm that the target life has been achieved. In the RDT, there are cases where the test equipment cannot accommodate all samples. Therefore, this study considers a test method to most economically demonstrate the target life of the product at a certain confidence level when the sample size is larger than the capacity of the test equipment. Methods: If the sample size is larger than the capacity of the test equipment, test equipments may be added or the test time of individual samples may be increased. So the test method is designed to cover this situation with limited capacity. A zero-failure test method is applied as a test method to RDT. To minimize the cost, the test cost is defined and the cost function is obtained. Finally, we obtain the optimal test plan. Results: A zero-failure test method is designed when the sample size is larger than the capacity of the test equipment, and the expected total cost is derived. In addition, the process of calculating the appropriate sample size, test time, and number of test equipment is illustrated through an example, and the effects of model parameters to the optimal solutions are investigated numerically. Conclusion: In this paper, we study a zero-failure RDT with test equipment that has limited capacity. The expected total cost is derived and the optimal sample size, test time, and number of test equipment are determined to minimize the expected total cost. We also studied numerical examples and for further studies, we can relax some restrictions in the test model and optimize the test method.