Availability &amp; Reliability Evaluation of Dokan Hydro Power Station

Majeed, A.R.; Sadiq, Niyaz M.

doi:10.1109/tdcla.2006.311494

Cited by 20 publications

(9 citation statements)

References 2 publications

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“…As per the markov three state model, hydropower are guided by two undesirable event i.e Scheduled outage and Forced outage. Scheduled outage covers all the planned events due to which hydropower unable to deliver electricity and Forced outage covers the events that are due to the failure in the components of hydropower [12] . The data such as failure rate and the mean downtime of past seven years of operation, were taken from the maintenance log sheet of the hydropower as provided by the management.…”

Section: Risk Score Through Ahp Based Ftamentioning

confidence: 99%

Risk Rating for Risk-Based Maintenance: A Case Study of Small Hydropower Plant in Nepal

Sharma

Bhattarai

Neupane

2021

J. Inst. Engineering

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Fourth generation maintenance philosophy and Quality management system 9001:2015, emphasis on the concept of risk based thinking. And it is one of the challenging part of maintenance department to adopt these philosophy by quantifying all the activities of the department. Risk rating based on reliability is one of the techniques to quantify the maintenance activities for those organizations, whose reliability of goods and services matter in the market. Hydropower sector is also among them whose reliability matters highly in consumer life standard. So this paper approaches to rate the risk of hydropower based on the reliability of components for the implementation of Risk-based maintenance. From the study of data recorded in log book of a small hydropower plant located in western part of Nepal, it was found that the overall reliability score of the plant was 0.9819, which was low as compared to other hydropower of Nepal, where turbine section of both the units of the plant found a higher risk score than other systems. Study adopted two tools i.e. Analytical Hierarchical based Fault Tree Analysis and Critical Analysis Technique to find the critical assets and Failure Mode and Effect Analysis for the rest of all to quantifying the risk in component level. The analysis shows that the cooling system as the critical asset for both the units and it contributes 72% and 64% in the reliability of the turbine section. The critical assets thus obtained was validated through the critical analysis technique. From which the risk score of cooling system found 90% in both the units. To analyze the risk in component level, Failure Mode and Effect Analysis of different sub component of critical assets was done. Among the sub-components of the cooling system, radial tube filter gets the highest risk score. Its components; cartridge, tube, and joints have the risk score of 450, 192, and 96 respectively. And from the critical analysis of the rest of the subsystems of uint-I and unit-II, components such as bearings, breaker of the transmission system, transmission equipment, excitation system and transformer of unit-I and breaker of the transmission system, transmission equipment and excitation system of unit-II are found to have higher critical score, hence, it is recommended to apply preventive activities on these components as per the manufacturer to reduce the risk that could be caused by their failure.

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Section: Risk Score Through Ahp Based Ftamentioning

confidence: 99%

Risk Rating for Risk-Based Maintenance: A Case Study of Small Hydropower Plant in Nepal

Sharma

Bhattarai

Neupane

2021

J. Inst. Engineering

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“…Setting the values of different parameters as k A ¼ 0:05; k B ¼ 0:10; k C ¼ 0:02 and [21,27] in Eq. (29) then taking the inverse Laplace transform, we get the availability of the system as Now varying time unit t from 0 to 15 in Eq.…”

Section: Availability Analysismentioning

confidence: 99%

Performability analysis of a system under 1-out-of-2:G scheme with perfect reworking

Ram

Kumar

2014

J Braz. Soc. Mech. Sci. Eng.

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In safety critical applications, it becomes common to improve the reliability through k-out-of-n redundancy. In this research, the authors have presented an analytical approach to compute the reliability measures of a system, which contains a mixed configuration. The system consists of three subsystems, namely A, B and C, connected in mixed configurations (i.e. combination of series and parallel configuration). Subsystem A is of the type 1-out of-2:G. Subsystem A is connected to subsystem B in a parallel configuration and these two subsystems are connected in series configuration with subsystem C. The considered system has three states, namely, good, degraded and failed. Markov process, supplementary variable technique and Laplace transformation have been used for solution and reliability measures like availability, reliability, mean time to failure, sensitivity analysis and cost-effectiveness have been evaluated of the considered system.

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“…Table (5) gives the results of evaluation of the sensitivity index that calculated using equation ( 8) considering Rezgare substation as output node. The variation of IMP are given for different component reliabilities.…”

Section: A: Network Representationmentioning

confidence: 99%

Reliability & Sensitivity Analysis of IKR Regional power Network

Majeed¹

2011

IJEEE

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This paper presents a developed algorithm for reliability sensitivity analysis of engineering networks. Reliability Modeling is proposed for the Iraqi Kurdistan Regional Power Network (IKRPN) using Symbolic Reliability function of the model. The written Pascal code for the developed algorithm finds efficiently path sets and cut sets of the model. Reliability and Unreliability indices are found. The sensitivity of these indices are found with respect to the variation of the network’s elements reliabilities.

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Availability & Reliability Evaluation of Dokan Hydro Power Station

Cited by 20 publications

References 2 publications

Risk Rating for Risk-Based Maintenance: A Case Study of Small Hydropower Plant in Nepal

Risk Rating for Risk-Based Maintenance: A Case Study of Small Hydropower Plant in Nepal

Performability analysis of a system under 1-out-of-2:G scheme with perfect reworking

Reliability & Sensitivity Analysis of IKR Regional power Network

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