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Dependability analysis in systems engineering approach using the FMECA extracted from the SysML and failure modes classification by K-means

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Abstract

The work presented in this article is a contribution to the implementation of an approach dedicated to the behavioral analysis of industrial systems starting from the design Maintenance engineering techniques inspire the suggested approach, and it aims at deducing and classifying the industrial systems' probable failure modes. The latter modes can alter the systems proper functioning. Our suggested approach is a combination of three complementary tools. The SysML language is applied to express customers' needs and requirements, such as future systems' functions and operating conditions. Besides, the FMECA method analyzes systems' potential dysfunction and the recommendation of appropriate maintenance actions. Finally, the K-means method classifies failure modes to get detailed mode criticality instead of calculating this latter according to ancient methods. The result will objectively make it possible to develop systems with reliable and maintainable components. It also helps to recommend optimal maintenance strategies according to the equipment evolution state. The approach is carried out through two application cases. The first is a practical and straightforward system used to check the methods feasibility, and the second is a more elaborated one, used to observe the effectiveness of the approach.

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References

  1. Kapurch SJ (2010) NASA systems engineering handbook. Diane Publishing, Collingdale

    Google Scholar 

  2. MacCormack A (2010) The architecture of complex systems: do core-periphery structures dominate?. In: Academy of management proceedings, Academy of Management, 1–6

  3. Daniel K (2009) Eléments d’architecture des systèmes complexes. In: Gestion de la complexité et de l’information dans les grands systèmes critiques, pp 179–207

  4. Magee CL, de Weck OL (2004) Complex system classification. In: Fourteenth annual international symposium of the international council on systems engineering (INCOSE), vol 14, no 1, pp 471–488

  5. Pierre D (2009) Contribution to reliability analysis of complex systems during their design phase: application to the evaluation of human sensors networks missions. Ph.D. thesis, Universities d’Orléans

  6. Robin C (2012) Promotion of the model-based system engineering approach for dependability analyses of critical complex systems integrating COTS. Ph.D. thesis, Universities d’Orléans

  7. Amel D, Abderafi C, Fabrice G, Herve C (2008) Functional and dysfunctional analysis of a mechatronic system. In: Annual reliability and maintainability symposium, pp 114–119. IEEE

  8. Ismahan M, Bcharia N (2015) Contribution to the functional and dysfunctional analysis of the photovoltaic systems. In: 3rd international renewable and sustainable energy conference (IRSEC), pp 1–4. IEEE

  9. Ben S, Lakhoua MN, El Amraoui L (2016) Modeling the speed measuring chain in ABS braking system. In: 7th international conference on sciences of electronics, technologies of information and telecommunications (SETIT), pp 76–81. IEEE

  10. Long W, Yanling Q, Yue L, Tengfei X, Yanbin L (2017) A FMEA method for electronic devices based on annotating functional roles. In: 13th IEEE international conference on electronic Measurement Instruments (ICEMI), pp 196–203

  11. Michalakoudis I, Childs P, Aurisicchio M, Harding J (2016) Using functional analysis diagrams to improve product reliability and cost. Adv Mech Eng 9(1):1687814016685223

    Google Scholar 

  12. Mauro V, Cesarotti V, Alfonsi L, Introna V (2015) Optimization of photovoltaic maintenance plan by means of a FMEA approach based on real data. Energy Convers Manage 152:1–12

    Google Scholar 

  13. Bertolini M, Bevilacqua M, Massini R (2006) FMECA approach to product traceability in the food industry. Food Control 17(2):137–145

    Article  Google Scholar 

  14. Wang Y, Li Y, Li C, Wang X (2017) Analysis and application of functional safety based on modified FMEA method. In: 2nd Asia-Pacific conference on intelligent robot systems (ACIRS), pp 98–103. IEEE

  15. Sulaman SM, Beer A, Felderer M, Hst M (2019) Comparison of the FMEA and STPA safety analysis methods a case study. Softw Qual J 27(1):349–387

    Article  Google Scholar 

  16. Vinodh S, Aravindraj S, Narayanan RS, Yogeshwaran N (2012) Fuzzy assessment of FMEA for rotary switches: a case study. TQM J

  17. Friedenthal S, Moore A, Steiner R (2014) A practical guide to SysML: the systems modeling language. Morgan Kaufmann, Burlington

    Google Scholar 

  18. Mhenni F, Choley JY, Penas O, Plateaux R, Hammadi M (2014) A SysML-based methodology for mechatronic systems architectural design. Adv Eng Inform 28(3):218–231

    Article  Google Scholar 

  19. Malone R, Friedland B, Herrold J, Houde R (2018) Incorporating variability and reuse into system architecture models-principles and challenges. In: INCOSE international symposium, incorporating variability and reuse into system architecture models-principles and challenges, pp 1–15. Wiley Online Library.

  20. Fejoz L, Leblanc P, Canals A (2013) Modeling of the case study using SysML. In: Embedded systems, pp 71–97

  21. Holt J, Perry S (2008) SysML for systems engineering. IET, London

    Book  Google Scholar 

  22. Dori D (2016) Model based systems engineering with OPM and SysML. Springer, New York

    Book  Google Scholar 

  23. Sanislav T, Miclea L (2015) A dependability modeling approach for cyber-physical systems. J Comput Sci Control Syst 8:23–29

    Google Scholar 

  24. Sarr ON, Barro FI, Niasse OA, Dia F, Mbengue N, Ba B, Sene C (2017) Analysis of failure modes effect and criticality analysis (FMECA): a stand-alone photovoltaic system. Sci J Energy Eng 5:40–47

    Article  Google Scholar 

  25. Ng AY, Jordan MI, Weiss Y (2006) On spectral clustering: analysis and an algorithm. In: Advances in neural information processing systems

  26. Steinbach M, Karypis G, Kumar V (2000) A comparison of document clustering techniques. In: KDD workshop on text mining, vol 400, pp 525–526. Boston Publisher

  27. Silla CN Jr, Freitas AA (2011) A survey of hierarchical classification across different application domains. Data Min Knowl Discov 22:31–72

    Article  MathSciNet  Google Scholar 

  28. Zhao Y, Karypis G (2002) Evaluation of hierarchical clustering algorithms for document datasets. In: Proceedings of the eleventh international conference on Information and knowledge management, pp 515–524. ACM Publisher

  29. Shim Y, Chung J, Choi IC (2005) A comparison study of cluster validity indices using a nonhierarchical clustering algorithm. In: Computational intelligence for modeling, control and automation and international conference on intelligent agents, pp 199–204. IEEE

  30. Scheibler D, Schneider W (1985) Monte Carlo tests of the accuracy of cluster analysis algorithms: a comparison of hierarchical and nonhierarchical methods. Multivariate Behav Res 20(3):283–304

    Article  Google Scholar 

  31. Kiri W, Claire C, Seth R, Stefan S (2000) Constrained K-means clustering with background knowledge. ICML 1:577–584

    Google Scholar 

  32. Likas A, Vlassis N, Verbeek JJ (2003) The global K-means clustering algorithm. Pattern Recogn 36(2):451–461

    Article  Google Scholar 

  33. MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol 1, no 14, pp 281–297. Oakland, CA, USA

  34. San OM, Huynh VN, Nakamori Y (2004) An alternative extension of the K-means algorithm for clustering categorical data. Int J Appl Math Comput Sci 14:241–247

    MathSciNet  MATH  Google Scholar 

  35. Haraty RA, Dimishkieh M, Masud M (2015) An enhanced K-means clustering algorithm for pattern discovery in healthcare data. Int J Distrib Sensor Netw 11(6):615740

    Article  Google Scholar 

  36. Yousefi J, Ahmadi M, Shahri MN, Oskouei AR, Moghadas FJ (2014) Damage categorization of glass/epoxy composite material under mode II delamination using acoustic emission data: a clustering approach to elucidate wavelet transformation analysis. Arab J Sci Eng 39(2):1325–1335

    Article  Google Scholar 

  37. Gutkin R, Green C, Vangrattanachai S, Pinho S, Robinson P, Curtis P (2011) On acoustic emission for failure investigation in CFRP: pattern recognition and peak frequency analyses. Mech Syst Signal Process 25(4):1393–1407

    Article  Google Scholar 

  38. Diez-Olivan A, Pagan JA, Sanz R, Sierra B (2017) Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score. Neurocomputing 241:97–107

    Article  Google Scholar 

  39. Yuan G, Shi G, Hou N, Kuang X (2014) The application of FMEA technology in the unstable failure analysis. In: International conference on reliability, maintainability and safety (ICRMS), pp 663–665. IEEE

  40. Ait-Hammouda I (2007) Modélisation hybride des algorithmes d'anti-blocage des roues (ABS). Ph.D. thesis, Paris 11, in partnership with University of Paris-Sud. Faculty of Sciences of Orsay (Essonne)

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Authors and Affiliations

  1. Solid Mechanics and Systems Laboratory (LMSS), M’Hamed Bougara University (UMBB), 35000, Boumerdes, Algeria

    Ali Chabane & Smail Adjerid

  2. National School of Technology, Diplomatic City, Dergana, Bordj El Kiffan, 16121, Algiers, Algeria

    Ikhlas Meddour

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  1. Ali Chabane
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  2. Smail Adjerid
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  3. Ikhlas Meddour
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Correspondence to Ali Chabane.

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Chabane, A., Adjerid, S. & Meddour, I. Dependability analysis in systems engineering approach using the FMECA extracted from the SysML and failure modes classification by K-means. Int. J. Dynam. Control 10, 981–998 (2022). https://doi.org/10.1007/s40435-021-00855-8

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  • DOI: https://doi.org/10.1007/s40435-021-00855-8

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