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.

References

References
1.
Moubray
,
J.
,
1997
,
Reliability-Centred Maintenance
, 2nd ed.,
Butterworth-Heinemann
,
Oxford, UK
.
2.
Smith
,
A. M.
, and
Hinchcliffe
,
G. R.
,
2003
,
RCM: Gateway to World Class Maintenance
,
Butterworth-Heinemann
,
Oxford, UK
.
3.
Prabhakar
,
P. D.
, and
Raj
,
V. P. J.
,
2013
, “
A New Model for Reliability Centered Maintenance in Petroleum Refineries
,”
Int. J. Sci. Technol. Res.
,
2
(
5
), pp.
56
64
.
4.
Wang
,
Q. F.
, and
Gao
,
J. J.
,
2012
, “
Research and Application of Dynamic Reliability Centered Maintenance for Process Industry
,”
J. Mech. Eng.
,
48
(
8
), pp.
135
143
.
5.
Zhou
,
D. J.
,
Gao
,
S. H.
,
Hou
,
D. L.
, and
Zhang
,
H. S.
,
2014
, “
Reliability-Centered Maintenance of Compressor Station Equipments Driven by Gas-Turbine
,”
Oil Gas Storage Transp.
,
33
(
5
), pp.
505
509
.
6.
Yang
,
Z. M.
,
2005
, “
Dynamic Maintenance Scheduling Using Online Information About System Condition
,” Ph.D. disseration, University of Michigan, Ann Arbor, MI, pp.
38
52
.
7.
Niu
,
G.
,
Yang
,
B.-S.
, and
Pecht
,
M.
,
2010
, “
Development of an Optimized Condition-Based Maintenance System by Data Fusion and Reliability-Centered Maintenance
,”
Reliab. Eng. Syst. Saf.
,
95
(
7
), pp.
786
796
.
8.
Li
,
Y. G.
, and
Nilkitsaranont
,
P.
,
2009
, “
Gas Turbine Performance Prognostic for Condition-Based Maintenance
,”
Appl. Energy
,
86
(
10
), pp.
2152
2161
.
9.
Xia
,
D.
,
2008
, “
Gas Turbine Diagnostic Theory and Experiment Research Based on Thermal Parameters
,” Ph.D. thesis, Shanghai Jiao Tong University, Shanghai, China, pp. 3–9.
10.
Jasmani
,
M. S.
,
Li
,
Y. G.
, and
Ariffin
,
Z.
,
2011
, “
Measurement Selection for Multicoponent Gas Path Diagnostics Using Analytical Approach and Measurement Subset Concept
,”
ASME J. Eng. Gas Turbines Power
,
133
(
11
), p.
111701
.
11.
Jardine
,
A. K. S.
,
Lin
,
D.
, and
Banjevic
,
D.
,
2006
, “
A Review on Machinery Diagnostics and Prognostics Implementing Condition-Based Maintenance
,”
Mech. Syst. Signal Process.
,
20
(
7
), pp.
1483
1510
.
12.
Ko
,
C.-N.
, and
Lee
,
C.-M.
,
2013
, “
Short-Term Load Forecasting Using SVR (Support Vector Regression)-Based Radial Basis Function Neural Network With Dual Extended Kalman Filter
,”
Energy
,
49
(
1
), pp.
413
422
.
13.
Lipowsky
,
H.
,
Staudacher
,
S.
,
Bauer
,
M.
, and
Schmidt
,
K. J.
,
2010
, “
Application of Bayesian Forecasting to Change Detection and Prognosis of Gas Turbine Performance
,”
ASME J. Eng. Gas Turbines Power
,
132
(
3
), p.
031602
.
14.
Lin
,
D.
,
Banjevic
,
D.
, and
Jardine
,
A. K. S.
,
2006
, “
Using Principal Components in a Proportional Hazards Model With Applications in Condition-Based Maintenance
,”
J. Oper. Res. Soc.
,
57
(
8
), pp.
910
919
.
15.
Zhou
,
D. J.
,
Zhang
,
H. S.
, and
Weng
,
S. L.
,
2014
, “
A Novel Prognostic Model of Performance Degradation Trend for Power Machinery Maintenance
,”
Energy
,
78
, pp.
740
746
.
16.
Cheng
,
Z. H.
,
Jia
,
X. S.
,
Gao
,
P.
,
Wu
,
S.
, and
Wang
,
J. Z.
,
2008
, “
A Framework for Intelligent Reliability Centered Maintenance Analysis
,”
Reliab. Eng. Syst. Saf.
,
93
(6), pp.
806
814
.
17.
Lu
,
S.
,
Tu
,
Y.-C.
, and
Lu
,
H.
,
2007
, “
Predictive Condition-Based Maintenance for Continuously Deteriorating Systems
,”
Qual. Reliab. Eng. Int.
,
23
(
1
), pp.
71
81
.
18.
Zhou
,
D. J.
,
Mei
,
J. J.
,
Chen
,
J. W.
,
Zhang
,
H. S.
, and
Weng
,
S. L.
,
2014
, “
Parametric Analysis on Hybrid System of Solid Oxide Fuel Cell and Micro Gas Turbine With CO2 Capture
,”
ASME J. Fuel Cell Sci. Technol.
,
11
(
5
), p.
051001
.
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