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Journal of Failure Analysis and Prevention

, Volume 11, Issue 1, pp 56–70 | Cite as

Reliability Assessment of Cogeneration Power Plant in Textile Mill Using Fault Tree Analysis

  • Vallem Ramesh
  • R. Saravannan
Technical Article---Peer-Reviewed

Abstract

The Combined Heat and Power (CHP) Systems are systems that simultaneously generate both electricity and useful heat. It is important to analyze the reliability of these systems to ensure the lowest level of life cycle cost. A CHP system installed in a textile mill is considered as a case study to assess the reliability through fault tree analysis (FTA). The common cause failures (CCFs) are evaluated using the β-factor model with the available data on the failure of the plant. On a detailed analysis, it is found that the unavailability of the plant is 8.50E−03, which is predominantly caused by the problems related to mechanical system, subsystems of boiler, and turbine. The repair and the restoration times for these components used in the fault tree analysis (FTA) are 48 and 8 h, respectively. Hence, faster restoration of these components affected by shutdown/failure and implementation of reliability-centered maintenance (RCM) features will significantly improve the reliability of the system, thereby reducing the time with respect to return on the investment.

Keywords

Fault tree analysis Common cause failures Minimal cut set 

Nomenclature

λ

Failure rate

β

Parametric factor

c

Component having two modes, i.e., working or failed

lc

Component failure rate

mc

Component repair rate

r

Mean failure rate of a component, h−1

P

Availability

Q

Mean unavailability of a component [Q-Factor = (1 − Availability)]

q

Demand failure probability

Tr

Time taken to repair a component, h

MTBF

Mean time between failures

MTTR

Mean time to repair

CCF

Common cause failure

MCS

Minimum cut set

Ti

Testing Frequency

Tf

Time to first failure, h

BE

Basic events

VCB

Vacuum circuit breaker

MVA

Mega volt ampere

CHP

Combined heat and power

FTA

Fault tree analysis

RCM

Reliability-centered maintenance

PM

Preventive maintenance

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Copyright information

© ASM International 2010

Authors and Affiliations

  1. 1.Refrigeration and Air Conditioning Laboratory, Department of Mechanical EngineeringAnna UniversityChennaiIndia

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