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Topic Maintenance economics for machines, devices and technical systems

 
RESEARCH PAPER
 

Fault Detection in Power Transmission Lines: Comparison of Chirp-Z Algorithm and Machine Learning Based Prediction Models
Feyyaz Alpsalaz
DOI: https://doi.org/10.17531/ein/203949
 
RESEARCH PAPER
 

Artificial Intelligence-Based Soft-Charging Dual Boost Control: PSO-Tuned Reactive Power Compensation for Reliability and Maintenance in Medium Voltage Unbalanced Grid Networks
Ezhil Jenekkha G. B, Marsaline Beno M, Jebarani Evangeline S, Sridharan S
DOI: https://doi.org/10.17531/ein/203804
 
RESEARCH PAPER
 

The optimal joint preventive maintenance strategy for the equipment under two-dimensional extended warranty
Xinjian Gao, Zhonghua Cheng, Tielu Gao, Rongcai Wang, Kexin Jiang, Enzhi Dong
DOI: https://doi.org/10.17531/ein/203763
 
RESEARCH PAPER
 

Cutting load analysis and Optimization methods of the Bauxite Shearers
Weipeng Xu, Kuidong Gao, Shuxue Wang, Kao Jiang, Wenbo Jiang, Guanzhan Dong
DOI: https://doi.org/10.17531/ein/201464
 
RESEARCH PAPER
 

Improving Reliability in Electric Vehicle Battery Management Systems through Deep Learning-Based Cell Balancing Mechanisms
Poorani Shivkumar, Jebarani Evangeline S, Bagyalakshmi Bagyalakshmi K, Maris Murugan T
DOI: https://doi.org/10.17531/ein/200714
 
RESEARCH PAPER
 

Efficiency and Reliability: Optimization of Energy Management in Electric Vehicles Apply Monarch Butterfly Algorithm and Fuzzy Logic Control
Josephin Shermila P, Anu Disney D, Reeda Lenus C, Niruban Niruban R
DOI: https://doi.org/10.17531/ein/200691
 
RESEARCH PAPER
 

DBN-Based MPPT Algorithm with FOPID Control for Optimal Power Tracking, Reliability, and Efficiency in Solar PV Systems under Shaded Conditions
Jenifer Suriya L, Christy Mano Raj J
DOI: https://doi.org/10.17531/ein/199421
 
RESEARCH PAPER
 

Optimal maintenance and pricing strategy for a periodic review production system with fixed maintenance costs and limited maintenance capacity
Chenbo Zhu, Baimei Yang, Fenghua Jin, Mi Li, Junjie Jiang
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195801
DOI: https://doi.org/10.17531/ein/195801
 
RESEARCH PAPER
 

Analysis and Improvement of Coal-loading Performance and Reliability of Thin Seam Coal Shearer Drums
Junming Lao, Xuecheng Wang, Mengqi Zhang, Zhi Chen, Jianfeng Guo
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194674
DOI: https://doi.org/10.17531/ein/194674
 
RESEARCH PAPER
 

Improved Graph Convolutional Neural Networks-based Cellular Network Fault Diagnosis
Zongzhen Gao, Wenlai Liu
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194672
DOI: https://doi.org/10.17531/ein/194672
 
RESEARCH PAPER
 

Opportunistic maintenance for a novel load-sharing system with dependent degradation rate and volatility
Wei Chen, Songhua Hao
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):194165
DOI: https://doi.org/10.17531/ein/194165
 
RESEARCH PAPER
 

Global-dynamic maintenance management of multi-component degrading plants with non-immediate replacement: a self-adaptive grouping approach
Shihan Zhou, Xiaobing Ma, Jingjing Wang, Yi Chen, Li Yang
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):193132
DOI: https://doi.org/10.17531/ein/193132
 
RESEARCH PAPER
 

Random renewable replacements to manage product reliability through a random renewable repair warranty
Lijun Shang, Liying Wang, Guojun Shang, Zhiqiang Cai
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192166
DOI: https://doi.org/10.17531/ein/192166
 
RESEARCH PAPER
 

Reliability Assessment Method Based on Small Sample Accelerated Life Test Data
Dazhang You, Shan Liu, Fangke Li, Hang Liu, Yepeng Zhang
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192170
DOI: https://doi.org/10.17531/ein/192170
 
RESEARCH PAPER
 

Multi-objective optimization design of rail grinding profile in Curve Section of Subway based on wear Evolution and representative worn profile
Jun Zhou, Linya Liu, Jiyang Li
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):191472
DOI: https://doi.org/10.17531/ein/191472
 
RESEARCH PAPER
 

Wear state identification of ball screw meta action unit based on parameter optimization VMD and improved Bilstm
Hongyu Ge, Cangfu Wang, Anxiang Guo, Chuanwei Zhang, Zhan Zhao, Manzhi Yang
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):191461
DOI: https://doi.org/10.17531/ein/191461
 
RESEARCH PAPER
 

A novel NMF-DiCCA deep learning method and its application in wind turbine blade icing failure identification
Chuangyan Yang, Peng Li, Xun Lang, Jiande Wu
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):190381
DOI: https://doi.org/10.17531/ein/190381
 
RESEARCH PAPER
 

Dynamic grouping maintenance optimization by considering the probabilistic remaining useful life prediction of multiple equipment
Xiangang Cao, Xinyu Shi, Jiangbin Zhao, Yong Duan, Xin Yang
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):187793
DOI: https://doi.org/10.17531/ein/187793
 
RESEARCH PAPER
 

Study on Microwave-assisted TBM Double-edged Cutter Rock-breaking Efficiency and its Positional Relationship
Sen Wen, Lin Du, Qingmei Kong, Min Zhang, Xinru Ding
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):186447
DOI: https://doi.org/10.17531/ein/186447
 
RESEARCH PAPER
 

Joint optimization of condition-based maintenance policy and buffer capacity for a two-component self-repairable serial system
Yinghao Meng, Mengmeng Lin, Zihao Xu, Zhen Yin
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):185581
DOI: https://doi.org/10.17531/ein/185581
 
RESEARCH PAPER
 

Failure and reliability analysis of heavy firefighting and rescue vehicles: a case study
Jarosław Selech, Wioletta Rogula-Kozłowska, Piotr Piątek, Agata Walczak, Daniel Pieniak, Paweł Bondaronok, Jacek Marcinkiewicz
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):175505
DOI: https://doi.org/10.17531/ein/175505
 
RESEARCH PAPER
 

An assessment of the reliability of CFRP composites used in nodes of friction after impact of UV-A impacts and thermal shocks
Aneta Krzyzak, Damian Racinowski, Robert Szczepaniak, Ewelina Kosicka
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):174221
DOI: https://doi.org/10.17531/ein/174221
 
RESEARCH PAPER
 

Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors
Edward Kozłowski, Anna Borucka, Piotr Oleszczuk, Tomasz Jałowiec
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):172857
DOI: https://doi.org/10.17531/ein/172857
 
RESEARCH PAPER
 

Maintenance policy of degradation components based on the two-phase Wiener process
Minqiao Song, Yingzhi Zhang, Fang Yang, Xiaofeng Wang, Guiming Guo
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):172537
DOI: https://doi.org/10.17531/ein/172537
 
RESEARCH PAPER
 

Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM
Kirubakaran Balakrishnan, Ilangkumaran Mani, Durairaj Sankaran
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):169581
DOI: https://doi.org/10.17531/ein/169581
 
RESEARCH PAPER
 

Component Maintenance Strategies and Risk Analysis for Random Shock Effects Considering Maintenance Costs
Chao Zhang, Yadong Zhang, Hongyan Dui, Shaoping Wang, Mileta Tomovic
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):162011
DOI: https://doi.org/10.17531/ein/162011
 
RESEARCH PAPER
 

Process machining allowance for reliability analysis of mechanical parts based on hidden quality loss
Jingang Wang, Xintian Liu, Xu Wang, Kai Jin
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):171594
DOI: https://doi.org/10.17531/ein/171594
 
RESEARCH PAPER
 

A novel method of health indicator construction and remaining useful life prediction based on deep learning
Xianbiao Zhan, Zixuan Liu, Hao Yan, Zhenghao Wu, Chiming Guo, Xisheng Jia
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):171374
DOI: https://doi.org/10.17531/ein/171374
 
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eISSN:2956-3860
ISSN:1507-2711
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