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Software Implementation Methodology of Intelligent Information Systems of Learning and Knowledge Control (IISLKC) Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Expert Knowledge Base in Integrated Maintenance Models for Engineering Plants

Authors : Ajit K. Verma, A. Srividya, P. G. Ramesh, Ashok Deshpande, Rehan Sadiq

Published in: Recent Developments and New Direction in Soft-Computing Foundations and Applications

Publisher: Springer International Publishing

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Abstract

Maintenance of large engineering systems is a complex requirement. Experience shows that a combination of both time- and condition-based maintenance is required to be optimally planned for such systems. Further, such a plan is required to be put in place even as the systems are being designed and installed so that the benefits of maintenance are maximized. While it is possible to use historical data for reliability and maintenance models, considerable amount of knowledge available as domain expertise needs to be tapped, to effectively model and plan maintenance strategies. In this paper, a framework for integration of time- and condition-based maintenance is presented and areas where domain expertise can be harnessed have been highlighted. Fuzzy logic has been shown as a useful tool in this framework to elicit expert information. A case study has been discussed to demonstrate the utility of expert information in modeling and planning scheduled preventive maintenance aspect for a ship’s machinery platform.

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previous chapter Modeling of Decision Maker Under Imperfect Information
Literature
1.
2.
Rigdon, S.E., Basu, A.P.: Statistical Methods for Reliability of Repairable Systems. Wiley, New York (2000)
3.
Wang, H.: A survey of maintenance policies of deteriorating systems. Eur. J. Oper. Res. 139(3), 469–489 (2002)CrossRefMATH
4.
Garg, A., Deshmukh, S.G.: Maintenance management: Literature review and directions. J. Qual. Maintenance Eng. 12(3), 205–238 (2006)
5.
Sharma, A., Yadava, G.S., Deshmukh, S.G.: A literature review and future perspectives on maintenance optimization. J. Qual. Maintenance Eng. 17(1), 5–25 (2011)
6.
Zio, E., Compare, M.: Evaluating maintenance policies by quantitative modeling and analysis. Reliab. Eng. Syst. Saf. 109, 53–65 (2013)CrossRef
7.
Jardine, A.K.S., Lin, D., Banjevic, D.: A review on machinery diagnostics and prognostics implementing condition based maintenance. Mech. Syst. Signal Process. 20(7), 1483–1510 (2006)CrossRef
8.
Ciarapica, F.E., Giacchetta, G.: Managing the condition-based maintenance of a combined-cycle power plant: An approach using soft Computing techniques. J. Loss Prev. Process Ind. 19, 316–325 (2006)CrossRef
9.
Sherwin, D.J., Al-Najjar, B.: Practical models for condition monitoring inspection intervals. J. Qual. Maintenance 5(3), 203–220 (1999)CrossRef
10.
Sikorska, J.Z., Hodkiewicz, M., Ma, L.: Prognostic modelling options for remaining useful life estimation by industry. Mech. Syst. Signal Process. 25, 1803–1836 (2011)CrossRef
11.
Prajapati, A., Bechtel, J., Ganesan, S.: Condition based maintenance: A survey. J. Qual. Maintenance Eng. 18(4), 384–400 (2012)CrossRef
12.
Al-Najjar, B.: On establishing cost-effective condition-based maintenance Exemplified for vibration-based maintenance in case companies. J. Qual. Maintenance Eng. 18(4), 401–416 (2012)CrossRef
13.
Van Horenbeek, A., Pintelon, L.: A dynamic predictive maintenance policy for complex multi-component systems. Reliab. Eng. Syst. Saf. 120, 39–50 (2013)CrossRef
14.
Ahmad, R., Kamaruddin, S.: An overview of time-based and condition-based maintenance in industrial application. Comput. Ind. Eng. 63, 135–149 (2012)CrossRef
15.
Veldman, J., Klingenberg, W., Wortmann, H.: Managing condition-based maintenance technology-A multiple case study in the process industry. J. Qual. Maintenance Eng. 17(1), 40–62 (2011)CrossRef
16.
Potes Ruiz, P.A., Kamsu-Foguem, B., Noyes, D.: Knowledge reuse integrating the collaboration from experts in industrial maintenance management. Knowl.-Based Syst. 50, 171–186 (2013)CrossRef
17.
Baraldi, P., Compare, M., Zio, E.: Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer theory of evidence. Inf. Sci. 245, 112–131 (2013)CrossRefMATH
18.
Sergaki, A., Kalaitzakis, K.: A fuzzy knowledge based maintenance planning in power systems. Reliab. Eng. Syst. Saf. 77, 19–30 (2002)CrossRef
19.
Al-Najjar, B., Alsyouf, I.: Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. Int. J. Prod. Econ. 84, 85–100 (2003)CrossRef
20.
Lau, H.C.W., Dwight, R.A.: A fuzzy-based decision support model for engineering asset condition monitoring—A case study of examination of water pipelines. Expert Syst. Appl. 38, 13342–13350 (2011)CrossRef
21.
Vijay Kumar, E., Chaturvedi, S.K.: Prioritization of maintenance tasks on industrial equipment for reliability: A fuzzy approach. Int. J. Qual. Reliab. Management. 28(1), 109–126 2011
22.
Verma, A.K., Srividya, A., Ramesh, P.G.: Multi-objective preventive maintenance interval decisions for large engineering plants. In: Proceedings International Conference on Quality, Reliability and Infocom Technology (2006)
23.
Malczewski, J.: GIS and Multi-Criteria Decision Analysis. Wiley, New York (1999)
24.
Verma, A.K., Srividya, A., Ramesh, P.G.: A systemic approach to integrated E-maintenance of large engineering plants. Int. J. Autom. Comput. 7(2), 173–179 (2010)
25.
Deb, K.: Multi-Objective Optimisation using Evolutionary Algorithms. Wiley, England (2001)MATH
Metadata
Title
Expert Knowledge Base in Integrated Maintenance Models for Engineering Plants
Authors
Ajit K. Verma
A. Srividya
P. G. Ramesh
Ashok Deshpande
Rehan Sadiq
Copyright Year
2016
Book
Recent Developments and New Direction in Soft-Computing Foundations and Applications

Print ISBN: 978-3-319-32227-8

Electronic ISBN: 978-3-319-32229-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-32229-2_36

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