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Integrated machine health monitoring: a knowledge based approach

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Abstract

Machine health monitoring in today’s complex plant systems has gained more prominence 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 be developed 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.

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Authors and Affiliations

  1. Division of Operations and Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

    Nadakatti Mahantesh, Parida Aditya & Uday Kumar

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  1. Nadakatti Mahantesh
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  2. Parida Aditya
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  3. Uday Kumar
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Correspondence to Nadakatti Mahantesh.

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Mahantesh, N., Aditya, P. & Kumar, U. Integrated machine health monitoring: a knowledge based approach. Int J Syst Assur Eng Manag 5, 371–382 (2014). https://doi.org/10.1007/s13198-013-0178-1

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  • DOI: https://doi.org/10.1007/s13198-013-0178-1

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