Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Jun-Li Shi This email address is being protected from spambots. You need JavaScript enabled to view it. 1,2, Ya-Jun Wang1 , Hai-Hua Jin1 , Shuang-Jiao Fan1 , Qin-Yi Ma1 and Mao-Jun Zhou1

1School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian 116034, P.R. China
2Institute of Sustainable Design and Manufacturing, Dalian University of Technology, Dalian 116024, P.R. China


 

Received: November 27, 2015
Accepted: April 21, 2016
Publication Date: June 1, 2016

Download Citation: ||https://doi.org/10.6180/jase.2016.19.2.08  


ABSTRACT


This study proposes a modified failure mode and effects analysis (FMEA) method based on fuzzy set theory and fuzzy analytic hierarchy process (FAHP) by analyzing the limitations of the traditional FMEA. First, the fuzzy language set of severity, occurrence, and detection is set up in this method. Second, the failure mode is evaluated by a triangular fuzzy number based on the fuzzy language set. Then, the weights of severity, occurrence, and detection are determined by the FAHP. Finally, the risk priority of the failure modes is determined by the modified risk priority number (RPN). The efficiency and feasibility of the modified FMEA method are verified by using it to deal with risk evaluation of the failure modes for a compressor crankshaft.


Keywords: Failure Mode and Effects Analysis, Fuzzy Language Set, Triangular Fuzzy Number, Fuzzy Analytical Hierarchy Process, Risk Priority Number


REFERENCES


  1. [1] Bowles, J. B. and Peláez, C. E., “Fuzzy Logic Prioritization of Failures in a System Failure Mode, Effects and Criticality Analysis,” Reliability Engineering and System Safety, Vol. 50, No. 2, pp. 203213 (1995). doi: 10.1016/0951-8320(95)00068-D.
  2. [2] Su, X. Y., Deng, Y., Mahadevan, S. and Bao, Q. L., “An Improved Method for Risk Evaluation in Failure Modes and Effects Analysis of Aircraft Engine Rotor Blades,” Engineering Failure Analysis, Vol. 26, pp. 164174 (2012). doi: 10.1016/j.engfailanal.2012.07. 009
  3. [3] Chang, K. H. and Cheng, C. H., “Evaluating the Risk of Failure Using the Fuzzy OWA and DEMATEL Method,” Journal of Intelligent Manufacturing, Vol. 22, pp. 113129 (2011). doi: 10.1007/s10845-009- 0266-x
  4. [4] Arabian-Hoseynabadi, H., Oraee, H. and Tavner, P. J., “Failure Modes and Effects Analysis (FMEA) for Wind Turbines,” Electrical Power and Energy Systems, Vol. 32, No. 7, pp. 817824 (2010). doi: 10.1016/j.ijepes. 2010.01.019
  5. [5] Silveira, E., Atxaga, G. and Irisarri, A. M., “Failure Analysis of Two Sets of Aircraft Blades,” Engineering Failure Analysis, Vol. 17, No. 3, pp. 641647 (2010). doi: 10.1016/j.engfailanal.2008.10.015
  6. [6] Liu, H. C., Liu, L., Liu, N. and Mao, L. X., “Risk Evaluation in Failure Mode and Effects Analysis with Extended VIKOR Method under Fuzzy Environment,” Expert Systems with Applications, Vol. 39, No. 7, pp. 1292612934 (2012). doi: 10.1016/j.eswa.2012.05.031.
  7. [7] Zhang, Z. F. and Chu, X. N., “Risk Prioritization in Failure Mode and Effects Analysis under Uncertainty,” Expert Systems with Applications, Vol. 38, No. 1, pp. 206214 (2011). doi: 10.1016/j.eswa.2010.06.046
  8. [8] Zammori, F. and Gabbrielli, R., “ANP/RPN: A Multi Criteria Evaluation of the Risk Priority Number,” Quality and Reliability Engineering International, Vol. 28, No. 1, pp. 85104 (2012). doi: 10.1002/qre.1217
  9. [9] Kutlu, A. C. and Ekmekçiolu, M., “Fuzzy Failure Modes and Effects Analysis by Using Fuzzy TOPSISbased Fuzzy AHP,” Expert Systems with Applications, Vol. 39, No. 1, pp. 6167 (2012). doi: 10.1016/j.eswa. 2011.06.044
  10. [10] Keskin, G. A. and Özkan, C., “An Alternative Evaluation of FMEA: Fuzzy ART Algorithm,” Quality and Reliability Engineering International, Vol. 25, No. 6, pp. 647661 (2009). doi: 10.1002/qre.984
  11. [11] Liu, H. C., You, J. X., Shan, M. M. and Shao, L. N., “Failure Mode and Effects Analysis Using Intuitionistic Fuzzy Hybrid TOPSIS Approach,” Soft Computing, Vol. 19, No. 4, pp. 10851098 (2015). doi: 10. 1007/s00500-014-1321-x
  12. [12] Mandal, S. and Maiti, J., “Risk Analysis Using FMEA: Fuzzy Similarity Value and Possibility Theory Based Approach,” Expert Systems with Applications, Vol. 41, No. 7, pp. 35273537 (2014). doi: 10.1016/j.eswa.2013. 10.058
  13. [13] Wang, Y. M., Chin, K. S., KaKwaiPoon, G. and Yang, J. B., “Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Weighted Geometric Mean,” Expert Systems with Applications, Vol. 36, No. 2, pp. 11951207 (2009). doi: 10.1016/j.eswa.2007.11.028
  14. [14] Hu, A. H., Hsu, C. W., Kuo, T. C. and Wu, W. C., “Risk Evaluation of Green Components to Hazardous Substance Using FMEA and FAHP,” Expert Systems with Applications, Vol. 36, No. 3, pp. 71427147 (2009). doi: 10.1016/j.eswa.2008.08.031
  15. [15] Xu, K., Tang, L. C., Xie, M., Ho, S. L. and Zhu, M. L., “Fuzzy Assessment of FMEA for Engine Systems,” Reliability Engineering and System Safety, Vol. 75, No. 1, pp. 1729 (2002). doi: 10.1016/S0951-8320 (01)00101-6
  16. [16] Zadeh, L. A., “Fuzzy Sets,” Information and Control, Vol. 8, No. 3, pp. 338353 (1965). doi: 10.1016/ S0019-9958(65)90241-X
  17. [17] Laarhoven, P. J. M. and Pedrycz, W., “A Fuzzy Extension of Saaty’s Priority Theory,” Fuzzy Sets and Systems, Vol. 11, pp. 229241 (1983). doi: 10.1016/ S0165-0114(83)80082-7
  18. [18] Kaufmann, A. and Gupta, M. M., “Fuzzy Mathematical Models in Engineering and Management Science,” Amsterdam: North Holland, pp. 121122 (1988).
  19. [19] Xiao, Y. and Lee, H., “Improvement on Judgment Matrix Based on Triangle Fuzzy Number,” Fuzzy Systems and Mathematics, Vol. 17, pp. 5964 (2003).
  20. [20] Saaty, T. L., The Analytic Hierarchy Process, McGrawHill, New York (1980).
  21. [21] Abdullah, L. and Zulkifli, N., “Integration of Fuzzy AHP and Interval Type-2 Fuzzy DEMATEL: an Application to Human Resource Management,” Expert Systems with Applications, Vol. 42, No. 9, pp. 43974409 (2015). doi: 10.1016/j.eswa.2015.01.021
  22. [22] Hosseini Ezzabadi, J., Saryazdi, M. D. and Mostafaeipour, A., “Implementing Fuzzy Logic and AHP into the EFQM Model for Performance Improvement: a Case Study,” Applied Soft Computing, Vol. 36, pp. 165176 (2015). doi: 10.1016/j.asoc.2015.06.051
  23. [23] Buckley, J. J., “Fuzzy Hierarchical Analysis,” Fuzzy Sets and Systems, Vol. 17, No. 3, pp. 233247 (1985). doi: 10.1016/0165-0114(85)90090-9