RESEARCH PAPER
An artificial neural network model supported with multi criteria decision making approaches for maintenance planning in hydroelectric power plants
1
Industrial Engineering Department Kırıkkale University 71451, Kırıkkale, Turkey
Publication date: 2020-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):400-418
KEYWORDS
Artificial neural networkshydroelectric power plantsfailure period estimationmaintenance planningAHPTOPSIS
ABSTRACT
Power plants are the large-scale production facilities with the main purpose of realizing uninterrupted, reliable, efficient, economic and environmentally friendly energy generation. Maintenance is one of the critical factors in achieving these comprehensive
goals, which are called as sustainable energy supply. The maintenance processes carried out in order to ensure sustainable energy
supply in the power plants should be managed due to the costs arising from time requirement, the use of material and labor, and the
loss of generation. In this respect, it is critical that the fault dates are forecasted, and maintenance is performed without failure in
power plants consisting of thousands of equipment. In this context in this study, the maintenance planning problem for equipment
with high criticality level is handled in one of the large-scale hydroelectric power plants that meet the quintile of Turkey’s energy
demand as of the end of 2018. In the first stage, the evaluation criteria determined by the power plant experts are weighted by the
Analytical Hierarchy Process (AHP), which is an accepted method in the literature, in order to determine the criticality levels of
the equipment in terms of power plant at the next stage. In order to obtain the final priority ranking of the equipment in terms of
power plant within the scope of these weights, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used
because of its advantages compared to other outranking algorithms. As a result of this solution, for the 14 main equipment groups
with the highest criticality level determined on the basis of the power plant, periods between two breakdowns are estimated, and
maintenance planning is performed based on these periods. In the estimation phase, an artificial neural network (ANN) model has
been established by using 11-years fault data for selected equipment groups and the probable fault dates are estimated by considering a production facility as a system without considering the sector for the first time in the literature. With the plan including
the maintenance activities that will be carried out before the determined breakdown dates, increasing the generation efficiency,
extending the economic life of the power plant, minimizing the generation costs, maximizing the plant availability rate and maximizing profit are aimed. The maintenance plan is implemented for 2 years in the power plant and the unit shutdowns resulting from
the selected equipment groups are not met and the mentioned goals are reached.
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Reimagining Multi-Criterion Decision Making by Data-Driven Methods Based on Machine Learning: A Literature Review
Huchang Liao, Yangpeipei He, Xueyao Wu, Zheng Wu, Romualdas Bausys
Huchang Liao, Yangpeipei He, Xueyao Wu, Zheng Wu, Romualdas Bausys
24.
Selection of Materials in Construction Industry with Multi-Criteria Decision Making Models
Weng Lam, Kah Liew, Weng Lam, D.A. Joshi, N.B. Ibrahim, D.M. Sangeetha
E3S Web of Conferences
Weng Lam, Kah Liew, Weng Lam, D.A. Joshi, N.B. Ibrahim, D.M. Sangeetha
E3S Web of Conferences
25.
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Huchang Liao, Yangpeipei He, Xueyao Wu, Zheng Wu, Romualdas Bausys
Information Fusion
Huchang Liao, Yangpeipei He, Xueyao Wu, Zheng Wu, Romualdas Bausys
Information Fusion
26.
Purpose-Driven Evaluation of Operation and Maintenance Efficiency and Safety Based on DIKWP
Yanfei Liu, Wentao Wang, Wenjun Wang, Chengbo Yu, Bowen Mao, Dongfang Shang, Yucong Duan
Sustainability
Yanfei Liu, Wentao Wang, Wenjun Wang, Chengbo Yu, Bowen Mao, Dongfang Shang, Yucong Duan
Sustainability
27.
BELEDİYE OTOBÜSLERİNİN YHT İSTASYONU İÇİN İLÇE GÜZERGÂHLARININ ÇKKV İLE BELİRLENMESİ: KIRIKKALE İLİ ÖRNEĞİ
Buse BAYRAM, Mert KARA, Rabia YUMUŞAK, Ahmet CÜREBAL, Tamer EREN
Konya Journal of Engineering Sciences
Buse BAYRAM, Mert KARA, Rabia YUMUŞAK, Ahmet CÜREBAL, Tamer EREN
Konya Journal of Engineering Sciences
28.
Planning of prescriptive maintenance types for generator with fuzzy logic-based genetic algorithm in a hydroelectric power plant
Merve Bulut, Evrencan Özcan
Expert Systems with Applications
Merve Bulut, Evrencan Özcan
Expert Systems with Applications
29.
Comparative evaluation of alternatives for management of wood wastes by using multi-criteria decision tools
Fatma Sayın, Gülay Topaloğlu, Bilge Ozbay, Ismail Ozbay
Environmental Research Communications
Fatma Sayın, Gülay Topaloğlu, Bilge Ozbay, Ismail Ozbay
Environmental Research Communications
30.
AFAD Kentsel Arama Kurtarma Akreditasyonu İçin Personel Seçim Problemi
Tuğba DANIŞAN, Tamer EREN
Journal of Polytechnic
Tuğba DANIŞAN, Tamer EREN
Journal of Polytechnic
32.
Remaining useful life prediction for train bearing based on an ILSTM network with adaptive hyperparameter optimization
Deqiang He, Jingren Yan, Zhenzhen Jin, Xueyan Zou, Sheng Shan, Zaiyu Xiang, Jian Miao
Transportation Safety and Environment
Deqiang He, Jingren Yan, Zhenzhen Jin, Xueyan Zou, Sheng Shan, Zaiyu Xiang, Jian Miao
Transportation Safety and Environment
33.
Avaliação dos critérios na seleção de projetos de eficiência energética utilizando Fuzzy AHP
Alessandro Alves, Douglas Alves Cassiano
Revista de Gestão e Projetos
Alessandro Alves, Douglas Alves Cassiano
Revista de Gestão e Projetos
34.
Application and Development of Hydraulic Steel Structure Safety Information Management System in Pumped Storage Hydropower
Fang Qin, Yunqiu Xia, Yesen Zhu, Tanghua Cheng, B. He, E. Kan, Q. Cui, G. Zhang, R. Shu
E3S Web of Conferences
Fang Qin, Yunqiu Xia, Yesen Zhu, Tanghua Cheng, B. He, E. Kan, Q. Cui, G. Zhang, R. Shu
E3S Web of Conferences
35.
HİPERTANSİYON HASTALARI İÇİN GİYİLEBİLİR SAĞLIK TEKNOLOJİLERİ SEÇİMİ
Beyza Nur Akıncı, Tuğba Danışan, Tamer Eren
Hacettepe University Faculty of Health Sciences Journal
Beyza Nur Akıncı, Tuğba Danışan, Tamer Eren
Hacettepe University Faculty of Health Sciences Journal
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| ISSN: | 1507-2711 |
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