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Knowledge Based Condition Monitoring System Using Matlab
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Gogte Institute of Technology, Belgaum, India.
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: Construction and Maintenance of Railway Infrastructure in Complex Environment / [ed] F. Chen; L. Gao; L.J. Wang; X.P. Cai, Bejing: China Railway Publishng House , 2014, p. 409-414Conference paper, Published paper (Refereed)
Abstract [en]

There has been a steady rise in the machine health monitoring research due to increasing complexities of the industrial machinery. Cost of the machines and machine downtime effects like production loss, maintenance expenses and reduction in overall plant productivity are the areas of concern for modern manufacturing plants. Researchers are developing newer models and algorithms to overcome new issues and challenges in the machine health monitoring using various tools and techniques for both online and off-line machine conditions. The present paper proposes an off-line knowledge based application for machine health monitoring using MATLAB. The application has modules for intelligently addressing the machinery troubleshooting problems based on vibration standard, ISO 10816. The proposed application has three modules: machinery vibration troubleshooting, vibration severity criterion and induction motor troubleshooting. The application is simple to use and modify in which, the machine faults can be detected and analyzed quickly. This will reduce the machine down-time, maintenance costs, etc., and increase the plant productivity

Place, publisher, year, edition, pages
Bejing: China Railway Publishng House , 2014. p. 409-414
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-29417Local ID: 2e384b75-40fb-4a1a-96f3-39fab3325ffdISBN: 978-7-113-18888-7 (print)OAI: oai:DiVA.org:ltu-29417DiVA, id: diva2:1002641
Conference
International Conference on Railway Engineering : Construction and Maintenance of Railway Infrastructure in Complex Environment 02/08/2014 - 03/09/2014
Note
Validerad; 2016; Nivå 1; 20140904 (parkum)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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