Condition-based Maintenance with Functional Modeling: Challenges and Opportunities

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

21 Downloads (Pure)


Practices in the process industry have shown benefits from functional modeling in particular a methodology called Multilevel Flow Modeling (MFM) for corrective maintenance by quickly reasoning out the root-cause of failure and suggesting plausible counteractions to maintain the normal operation. In order to decrease the downtime and reduce the costs, condition-based maintenance (CBM) has also been advocated. With the robust capability of knowledge representation and automated reasoning for complex process systems, MFM has the potential for CBM by representing relevant functions and processing data from condition monitoring, but may need a revolutionary methodology extension from the process level to the perspective of mechanical equipment. This paper goes over the key CBM steps and prevailing CBM approaches, from which the possible opportunities and challenges of applying MFM as the unified knowledge base for CBM are defined. The authors aim to develop a computerized maintenance management system, which will interact with the existing MFM-based reasoning platforms to provide operators an integrative decision support for operation and maintenance.
Original languageEnglish
Title of host publicationProceedings of the 31st European Safety and Reliability Conference
Number of pages8
PublisherResearch Publishing Services
Publication date2022
ISBN (Print)981-973-0000-00-0
Publication statusPublished - 2022
Event31st European Safety and Reliability Conference - Angers, France
Duration: 19 Sep 202123 Sep 2021
Conference number: 31


Conference31st European Safety and Reliability Conference


  • Decision support system
  • Condition-based maintenance
  • Functional modeling
  • Multilevel flow modeling
  • Condition monitoring
  • Computerized maintenance management system


Dive into the research topics of 'Condition-based Maintenance with Functional Modeling: Challenges and Opportunities'. Together they form a unique fingerprint.

Cite this