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Stochastic behaviour analysis of power generating unit in thermal power plant using fuzzy methodology

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Abstract

The aim of this research is to study the stochastic behaviour of a PGU (power generating unit) of a medium size coal fired thermal power plant using fuzzy methodology (FM). The PN approach was used to depict series and parallel configurations of the subsystems constituting the PGU. To study the failure dynamics of the considered system, various reliability parameters such as failure rate, repair time, MTBF, ENOF, availability and reliability of the system were computed using fuzzy λ-τ approach. RCA was conducted to determine the failure causes of various subsystems of the PGU. FMEA was carried out to determine the RPN scores of the various failure causes of different components. On the basis of these RPN scores, critical components were identified and ranked on the basis of criticality. Further, the limitations of the traditional FMEA approach were overcome by introducing a Fuzzy decision support system (FDSS). Findings of this study would be communicated to field engineers/system analysts of the considered system to help them understand and anticipate system behavior, and implement appropriate and effective maintenance policies for improving system availability.

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Acknowledgments

The authors thanks to Mr. Manish Malik, Assistant Engineer, Mechanical, coal fired thermal power plant, dist. Panipat, Haryana, India for providing every possible help for this work. I would also like to thank Indian institute of technology, Roorkee, India, to provide the research facilities.

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Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India

    Dilbagh Panchal & Dinesh Kumar

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  1. Dilbagh Panchal
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  2. Dinesh Kumar
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Correspondence to Dilbagh Panchal.

Appendix 1

Appendix 1

1.1 Nomenclature

FDSS

Fuzzy decision support system

λ i

Failure rate of components, i = 1, 2, 3 …. n

PN

Petrinet

τ i

Repair time of components, i = 1, 2, 3 …. n

FM

Fuzzy methodology

λ (α)

Interval for fuzzy failure rate

RCA

Root cause analysis

τ (α)

Interval for fuzzy repair time

FTA

Fault tree analysis

O d

Probability of non detection

FMEA

Failure mode effect analysis

s

Severity of failure

MF

Membership function

O f

Probability of occurrence of failure

TFN

Triangular fuzzy number

HPT

High pressure turbine

FRPN

Fuzzy risk priority number

LPT

Low pressure turbine

TMF

Triangular membership function

IPT

Intermediate pressure turbine

FMF

Fuzzy membership function

  

Degree of membership of element X in fuzzy set A

  

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Panchal, D., Kumar, D. Stochastic behaviour analysis of power generating unit in thermal power plant using fuzzy methodology. OPSEARCH 53, 16–40 (2016). https://doi.org/10.1007/s12597-015-0219-4

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