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Integrated machine health monitoring: a knowledge based approach
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7474-2723
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2014 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 3, p. 371-382Article in journal (Refereed) Published
Abstract [en]

Machine health monitoring in today's complex plant systems has gained moreprominence than ever before because of steep increase in machinery costs, plant investments and maintenance expenses. A breakdown in any one machine or a component in a plant could mean huge losses coupled with safety and environmental threats as in the case of nuclear or chemical plants. The advances in manufacturing technology and the competition in the market necessitate the continuous availability of machinery for production. This has created a need for integrating maintenance with other manufacturing activities for better plant availability and efficiency. The objective of present research work is to present one such integrated machine health monitoring (IMHM) system developed using knowledge-based systems. The proposed model can be a useful maintenance tool in majority of small and medium scale manufacturing plants. A comprehensive knowledge based system (KBS)could bedeveloped over a period of time for industrial machinery which can monitor the major machinery faults and provide expert maintenance solutions through measurement and analysis of machine parameters such as power, vibration, noise, temperature, wear debris, lubricant condition, etc. A fault diagnosis system with KBS is based on computer programs interlinking fault symptoms, faults and remedies. These solutions are based on published information about permissible machine parameters in handbooks, journals, conferences besides the past maintenance experiences and from machine expert's knowledge regarding specific machinery problem and its solution. The paper outlines possible sub-modules for IMHM along with their features.

Place, publisher, year, edition, pages
2014. Vol. 5, no 3, p. 371-382
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-11482DOI: 10.1007/s13198-013-0178-1Scopus ID: 2-s2.0-84940269400Local ID: a785278b-80d2-4635-a52b-2303fde9497fOAI: oai:DiVA.org:ltu-11482DiVA, id: diva2:984432
Note
Validerad; 2014; 20130702 (mahnad)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Nadakatti, MahanteshParida, AdityaKumar, Uday

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