Reliability analysis of urban gas transmission and distribution system based on FMEA and correlation operator
Su LI, Weiguo ZHOU
Reliability analysis of urban gas transmission and distribution system based on FMEA and correlation operator
In order to improve the safety management of urban gas transmission and distribution system, failure mode and effects analysis (FMEA) was used to construct the reliability analysis system of the pipeline network. To solve the problem of subjectivity and uncertainty of the multi-expert decision making, the correlation operator was introduced into the calculation of the risk priority number (RPN). Using FMEA along with weight analysis and expert investigation approach, the FMEA evaluation table was given, including five failure modes, risk priority numbers, failure causes and effects, as well as corrective actions. The results show that correlation operator can directly process the linguistic terms and quantify the priority of the risks.
gas transmission and distribution system / risk evaluation / reliability analysis / failure mode and effects analysis (FMEA) / correlation operator
[1] |
Duan C G. Gas Transmission and Distribution. Beijing: China Architecture & Building Press, 2011, 68–99
|
[2] |
Stamatics D H (USA). Failure Mode and Effect Analysis: FMEA from Theory to Execution. 2nd Edition. Translated by Chen X T, Yao S H. Beijing: National Defence Industry Press, 2005, 36–67 (in Chinese)
|
[3] |
Liu H C, Liu L, Liu N. Risk evaluation approaches in failure mode and effects analysis: a literature review. Experts Systems with Applications, 2013, 40(2): 828–838
|
[4] |
Franceschini F, Galetto M. A new approach for evaluation of risk priorities of failure modes in FMEA. International Journal of Production Research, 2001, 39(13): 2991–3002
|
[5] |
Chang C L, Wei C C, Lee Y H. Failure mode and effects analysis using fuzzy method and grey theory. Kybernetes, 1999, 28(9):1072–1080
|
[6] |
Wang Y M, Chin K S, Poon G K K, Yang J B. Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications, 2009, 36(2): 1195–1207
|
[7] |
Pyzdek T. The Six Sigma Project Planner. McGraw-Hill Trade, 2003, 100–111
|
[8] |
Li Y J, Yu J X. Quality risk analysis of submarine pipeline in construction period base on FMEA and fuzzy theory. China Safety Science Journal, 2012, 22(1): 112–117 (in Chinese)
|
[9] |
McDermott R E, Mikulak R J, Beauregard M R. The Basics of FMEA. 2nd Edition. Productivity Press, 2008, 23–38
|
[10] |
Zheng J J, Zhang Q L, Wang X M, Wang X L. FMEA analysis of backfilling pipeline system and fuzzy evaluation of failure effects. China Safety Science Journal, 2009, 19 (6): 166–171 (in Chinese)
|
[11] |
Wei G W. Method of uncertain linguistic multiple attribute group decision making based on dependent aggregation operators. Journal of Systems Engineering and Electronics, 2010, 32(4): 764–769 (in Chinese)
|
[12] |
Xu Z S. On method of multi-attribute group decision making under pure linguistic information. Control and Decision, 2004, 19(7): 778–781 (in Chinese)
|
/
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