Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

A Dynamic Reliability-Centered Maintenance Analysis Method for Natural Gas Compressor Station Based on Diagnostic and Prognostic Technology

[+] Author and Article Information
Dengji Zhou

Gas Turbine Research Institute,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: ZhouDJ@sjtu.edu.cn

Huisheng Zhang

Gas Turbine Research Institute,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: zhslm@sjtu.edu.cn

Yi-Guang Li

School of Aerospace, Transport
and Manufacturing,
Cranfield University,
Bedfordshire MK43 0AL, UK
e-mail: i.y.li@cranfield.ac.uk

Shilie Weng

Gas Turbine Research Institute,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: slweng@sjtu.edu.cn

Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received September 12, 2015; final manuscript received September 15, 2015; published online November 17, 2015. Editor: David Wisler.

J. Eng. Gas Turbines Power 138(6), 061601 (Nov 17, 2015) (9 pages) Paper No: GTP-15-1447; doi: 10.1115/1.4031644 History: Received September 12, 2015; Revised September 15, 2015

The availability requirement of natural gas compressors is high. Thus, current maintenance architecture, combined periodical maintenance and simple condition based maintenance, should be improved. In this paper, a new maintenance method, dynamic reliability-centered maintenance (DRCM), is proposed for equipment management. It aims at expanding the application of reliability-centered maintenance (RCM) in maintenance schedule making to preventive maintenance decision-making online and seems suitable for maintenance of natural gas compressor stations. A decision diagram and a maintenance model are developed for DRCM. Then, three application cases of DRCM for actual natural gas compressor stations are shown to validate this new method.

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Grahic Jump Location
Fig. 1

Analysis process of RCM

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Fig. 3

Difference between RCM and DRCM

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Fig. 4

DRCM decision diagram

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Fig. 5

Relationship between degradation curve and reliability

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Fig. 6

Calculating process of DRCM maintenance model

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Fig. 7

Gas turbine driven compressor model

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Fig. 8

Compressor outlet pressure sensor diagnosis result

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Fig. 9

Intake filter blockage analysis result

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Fig. 11

Reliability of gas turbine driven compressor under four typical maintenance strategies

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Fig. 12

Availability of gas turbine driven compressor under four typical maintenance strategies



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