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Ontology-based framework for maintenance activity analysis and support: a case study for petroleum plant

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Abstract

In most modern production plants, there has been increased implementation of effective plant maintenance management systems. In the last decade, a large number of studies have been conducted and a wide array of software packages has been developed for optimizing and managing plant maintenance activities. The main focus of most of these studies and systems is to manage the plant maintenance costs at high level management. instead of improving the maintenance activities at the plant elements. These systems have been successful in providing valuable assistance to plant management to manage maintenance activities at a high level. However, an effective plant maintenance analysis module concerning plant maintenance components is still in demand in many production plants. It is also vitally important to provide decision support to stakeholders for the efficient and effective maintenance of the production process. This paper presents an analytical framework that provide the stakeholders the flexibility in making maintenance decisions based on the information collected through plant monitoring process and from the plant maintenance work order history. In our previous work, we designed and implemented two stages of our proposed framework using ontology and business rules which allows to define the logical structure and maintenance operation of a production plant with the objective of improving the plant maintenance activities. To include maintenance benchmark, maintenance analyser dashboard and maintenance decision support components, we have extended the ontology and the framework to ensure that decision makers have sufficient knowledge to make the right decision at the right time. The proposed extended framework is designed, implemented and evaluated using an example petroleum production plant as a case study.

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Abbreviations

MfQ:

Maintenance frequency

MTTR:

Mean time to repair

MTBF:

Mean time between failures

PM:

Preventive maintenance

CM:

Corrective maintenance

GOSP:

Gas and Oil Separation Plant

References

  • Bengtsson M (2004) Condition based maintenance system technology—where is development heading? In: Congress report on the 17th euromaintenance, AEM—Asociacion Espanola de Mantenimiento, pp 147–156

  • Bloch-Mercier S (2002) A preventive maintenance policy with sequential checking procedure for a markov deteriorating system. Eur J Oper Res 142(3):548–576. doi:10.1016/S0377-2217(01)00310-1

    Article  MATH  MathSciNet  Google Scholar 

  • Bratsas C, Koutkias V, Kaimakamis E, Bamidis PD, Pangalos G, Maglaveras N (2007) Knowbasics-m: an ontology-based system for semantic management of medical problems and computerised algorithmic solutions. Comput Methods Programs Biomed 88(1):39–51. doi:10.1016/j.cmpb.2007.06.005

    Article  Google Scholar 

  • Buse DP, Wu QH (2004) Mobile agents for remote control of distributed systems. IEEE Trans Ind Electron V 51(Issue 6):1142–1149

    Article  Google Scholar 

  • Buse DP, Feng JQ, Wu QH (2003) Mobile agents for data analysis in industrial automation systems. In: International conference on intelligent agent technology, 2003. IAT 2003. IEEE/WIC, pp 60–66

  • Charles AS, Floru IR, Azzaro-Pantel C, Pibouleau L, Domenech S (2003) Optimization of preventive maintenance strategies in a multipurpose batch plant: application to semiconductor manufacturing. Comput Chem Eng 27(4):449–467. doi:10.1016/S0098-1354(02)00216-8

    Article  Google Scholar 

  • Chunhua Z, Xinze Z, Zongqi T, Xinping Y (2006) Research on multi-agent system model of diesel engine fault diagnosis by case-based reasoning. In: First international conference on innovative computing, information and control, 2006. ICICIC ’06, vol 3, pp 386–389

  • Elhdad R, Chilamkurti N, Torabi T (2011) A novel design for the production process using ontology and business rules. In: 6th IEEE conference on industrial electronics and applications (ICIEA), 2011, pp 1525–1530

  • Elhdad R, Chilamkurti N, Torabi T (2013) An ontology-based framework for process monitoring and maintenance in petroleum plant. J Loss Prev Process Ind 26(1):104–116

    Article  Google Scholar 

  • Garg A, Deshmukh S (2006) Maintenance management: literature review and directions. J Qual Maint Eng 12(3):205–238

    Article  Google Scholar 

  • Glasgow HB, Burkholder JM, Reed RE, Lewitus AJ, Kleinman JE (2004) Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies. J Exp Mar Bio Ecol 300(1–2):409–448

    Article  Google Scholar 

  • Gulledge T, Hiroshige S, Iyer R (2010) Condition-based maintenance and the product improvement process. Comput Ind 61(9):813–832

    Article  Google Scholar 

  • Hao Q, Xue Y, Shen W, Jones B, Zhu J (2010) A decision support system for integrating corrective maintenance, preventive maintenance and condition-based maintenance. In: Ruwanpura J, Mohamed Y, Lee S (eds) Proceedings of the 2010 construction research congress, ASCE, vol 373, pp 47–47

  • Holmberg K, Halme J, Helle A (2005) Prognostics for industrial machinery availability. In: POHTO 2005 International seminar on maintenance, condition monitoring and diagnostics

  • Horenbeek A, Pintelon L, Muchiri P (2010) Maintenance optimization models and criteria. Int J Syst Assur Eng Manag 1(3):189–200. doi:10.1007/s13198-011-0045-x

    Article  Google Scholar 

  • Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20(7):1483–1510. doi:10.1016/j.ymssp.2005.09.012

    Article  Google Scholar 

  • Jing-Gao S, Xin-Bin Y, Dao H (2002) Multi-agent based distributed chemical process monitoring and diagnosis. In: Proceedings of international conference on machine learning and cybernetics, 2002, vol 2, pp 851–856

  • Koç M, Ni J, Lee J, Bandyopadhyay P (2003) Introduction of e-manufacturing. In: Proceedings of the North American manufacturing research conference (NAMRC), Hamilton, Canada

  • Livshitz A, Chudnovsky BH, Bukengolts B (2004) Online condition monitoring and diagnostics of power distribution equipment. In: Power systems conference and exposition, 2004, IEEE PES, vol 2, pp 646–653

  • Macchi M, Garetti M (2006) Information requirements for e-maintenance strategic planning: a benchmark study in complex production systems. Comput Ind 57(6):581–594. doi:10.1016/j.compind.2006.02.015. E-maintenance Special Issue

    Article  Google Scholar 

  • Morbach J, Yang A, Marquardt W (2007) Ontocapea large-scale ontology for chemical process engineering. Eng Appl Artif Intell 20(2):147–161

    Article  Google Scholar 

  • Muller A, Crespo Marquez A, Iung B (2008) On the concept of e-maintenance: review and current research. Reliab Eng Syst Saf 93(8):1165–1187

    Article  Google Scholar 

  • Nguyen D, Bagajewicz M (2010) Optimization of preventive maintenance in chemical process plants. Ind Eng Chem Res 49(9):4329–4339. doi:10.1021/ie901433b

    Article  Google Scholar 

  • Nguyen DQ, Brammer C, Bagajewicz M (2008) New tool for the evaluation of the scheduling of preventive maintenance for chemical process plants. Ind Eng Chem Res 47(6):1910–1924. doi:10.1021/ie071231i

    Article  Google Scholar 

  • Noy NF, McGuinness DL (2001) Ontology development 101: a guide to creating your first ontology. Technical report, Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880

  • Pun KF, Chin KS, Chow MF, Lau HC (2002) An effectiveness-centred approach to maintenance management: a case study. J Qual Maint Eng 8(4):346–368

    Article  Google Scholar 

  • Rabova I (2006) Business rules in the agricultural area. Agric Econ 52(7):335–340

    Google Scholar 

  • Rábová I. (2007) The business rules in the business processes. In: Firm and competition environment. pp 63–68

  • Rabova I (2009) Business rules specification and business processes modelling. Agric Econ 55(1):20–24

    Google Scholar 

  • Rayo A (2007) Ontological commitment1. Philos Compass 2(3):428–444

    Article  MathSciNet  Google Scholar 

  • Tan JS, Kramer MA (1997) A general framework for preventive maintenance optimization in chemical process operations. Comput Chem Eng 21(12):1451–1469. doi:10.1016/S0098-1354(97)88493-1

    Article  Google Scholar 

  • Tao B, Ding H, Xiong Y (2003) Ip sensor and its distributed networking application in e-maintenance. In: IEEE International conference on systems, man and cybernetics, 2003, vol 4, pp 3858–3863. doi:10.1109/ICSMC.2003.1244490

  • Utne IB, Brurok T, Rødseth H (2012) A structured approach to improved condition monitoring. J Loss Prev Process Ind 25(3):478–488

    Article  Google Scholar 

  • Villanueva-Rosales N, Dumontier M (2008) Yowl: An ontology-driven knowledge base for yeast biologists. J Biomed Inform 41(5):779–789. doi:10.1016/j.jbi.2008.05.001

    Article  Google Scholar 

  • Wang H (2002) A survey of maintenance policies of deteriorating systems. Eur J Oper Res 139:469

    Article  MATH  Google Scholar 

  • Wang H, Pham H (1996) Optimal age-dependent preventive maintenance policies with imperfect maintenance. Int J Reliab Qual Saf Eng 03(02):119–135. doi:10.1142/S0218539396000090

    Article  Google Scholar 

  • Wang H, Pham H (2006) Reliability and optimal maintenance. Series in Reliability Engineering. Springer, London, vol 16, p 345

  • Zhang W, Halang W, Diedrich C (2003) An agent-based platform for service integration in e-maintenance. In: IEEE international conference on industrial technology, 2003, vol 1, pp 426–433. doi:10.1109/ICIT.2003.1290350

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Authors and Affiliations

  1. Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, 3086, Australia

    Naveen Chilamkurti, Torab Torabi & Rabee Elhdad

Authors
  1. Naveen Chilamkurti
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  2. Torab Torabi
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  3. Rabee Elhdad
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Correspondence to Naveen Chilamkurti.

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Chilamkurti, N., Torabi, T. & Elhdad, R. Ontology-based framework for maintenance activity analysis and support: a case study for petroleum plant. Int J Syst Assur Eng Manag 5, 84–98 (2014). https://doi.org/10.1007/s13198-013-0198-x

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  • DOI: https://doi.org/10.1007/s13198-013-0198-x

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