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Analysis of lubrication oil towards maintenance grouping for multiple equipment using fuzzy cluster analysis
Wakiru, J.M.; Pintelon, L.; Karanović, V.V. et al.
2018In Rackov M.; Mitrovic R. (Eds.) IOP Conference Series: Materials Science and Engineering
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Keywords :
Cluster analysis; Cost reduction; Engines; Fuzzy clustering; Lubricants; Planning; Plant shutdowns; Product design; Reduction; Thermoelectric power plants; Corrective and preventive maintenance; Efficiency maximization; Equipment characteristics; Maintenance planning; Maintenance scheduling; Medium-speed engines; Thermal power plants; Unplanned shutdowns; Preventive maintenance
Abstract :
[en] Maintenance of similar multiple equipment is challenged by the complexities brought by respective maintenance needs and intervals for each equipment. Therefore, maintenance scheduling and planning becomes expensive and time intense, affecting productivity and profitability of the plant. Organizations are embracing the need to enhance maintenance planning by evaluating equipment characteristics which potentially offer benefits from reduction in maintenance costs and downtime to avoiding of unplanned shutdowns and efficiency maximization. To address this need, this study proposes a methodology that groups equipment with similar characteristics picked from lubricant analysis using fuzzy cluster analysis. Grouped equipment tend to require similar corrective and preventive maintenance (PM) actions enhancing maintenance planning and equipment availability. To validate this framework, lubricant analysis data for seventeen medium speed engines (MSE) of a thermal power plant is utilized where the derived clusters are subsequently used to group the engines. The framework offers benefits towards reduction of maintenance cost, improved planning and overall availability of the plant and equipment. © 2018 Institute of Physics Publishing. All rights reserved.
Disciplines :
Mechanical engineering
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Wakiru, J.M.;  KU Leuven, Centre of Industrial Management, Celestijnenlaan 300A, Heverlee, 3001, Belgium
Pintelon, L.;  University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, Novi Sad, 21000, Serbia
Karanović, V.V.
Jocanović, M.T.
OROSNJAK, Marko  ;  University of Novi Sad, Faculty of Technical Sciences > Industrial Engineering and Management > Quality, Effectiveness and Logistics
External co-authors :
yes
Language :
English
Title :
Analysis of lubrication oil towards maintenance grouping for multiple equipment using fuzzy cluster analysis
Publication date :
2018
Event name :
The 10th International Symposium Machine and Industrial Design in Mechanical Engineering (KOD 2018) 6–8 June 2018, Novi Sad, Serbia
Event organizer :
University of Novi Sad, Faculty of Technical Sciences, Department of Mechanical Engineering
Event place :
Novi Sad, Serbia
Event date :
6–8 June 2018
Event number :
1
Audience :
International
Main work title :
IOP Conference Series: Materials Science and Engineering
Main work alternative title :
[en] IOP Conference Series: Materials Science and Engineering
Editor :
Rackov M.
Mitrovic R.
Publisher :
Institute of Physics Publishing, Novi Sad, Serbia
Edition :
1
Collection ISSN :
1757-899X
Peer reviewed :
Peer reviewed
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