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Topic Monitoring and diagnostics for maintenance of 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
 

Optimal predictive maintenance for a nonstationary gamma process
Yue Wang, Ganlong Wang, Yanxia Wu, Guoyin Zhang, Rui Zheng
DOI: https://doi.org/10.17531/ein/203543
 
RESEARCH PAPER
 

Optimal Imperfect Predictive Maintenance Based on Interval Remaining Useful Life Prediction
Xiaoliang He, Chun Su, Yuru Zhang, Jiuqiang Tang
DOI: https://doi.org/10.17531/ein/203458
 
RESEARCH PAPER
 

Real-Time Fault Monitoring Method for Logistics Vehicles Based on Chaotic Ant Colony Algorithm
Yinxia Zhang, Liang Wang
DOI: https://doi.org/10.17531/ein/203395
 
RESEARCH PAPER
 

Predictive maintenance of belt conveyor idlers based on measurements, analytical calculations and decision-making algorithms
Przemysław Rumin, Janusz Kotowicz, Anna Zastawna-Rumin
DOI: https://doi.org/10.17531/ein/202096
 
RESEARCH PAPER
 

Remaining Useful Life Prediction Based on Cross-Temporal Dynamic Graph Convolutional Network
Liwei Deng, Jixin Liu, Mei Liu, Yue Cao, Chenglin Wen, Xingchao Deng
DOI: https://doi.org/10.17531/ein/203249
 
RESEARCH PAPER
 

Convolutional Neural Network - Gated Recurrent Unit combined with Error Correction for Lithium Battery State of Health Estimation
Xing Luo, Wenxie Bu, Han Liang, Minggang Zheng
DOI: https://doi.org/10.17531/ein/202184
 
RESEARCH PAPER
 

A fatigue lifetime prediction model applicable to porous sintered Ag nanoparticles
Zhongqing Zhang, Guicui Fu, Bo Wan, Yutai Su
DOI: https://doi.org/10.17531/ein/201429
 
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
 

IIoT based operational technology system for monitoring belt transmissions
Jakub Franek, Julian Malaka, Piotr MIchalski, Jerzy Świder
DOI: https://doi.org/10.17531/ein/197382
 
RESEARCH PAPER
 

Study on Reliability of Field-Aged Photovoltaic Connectors
Kartik Kapoor, Eswaramoorthy Muthusamy, Devendra Goyal, Nikhil PG
DOI: https://doi.org/10.17531/ein/199496
 
RESEARCH PAPER
 

Fault diagnosis of gear based on URP-CVAE-MGAN under imbalanced and small sample conditions
Na Yang, Jie Liu, Hui Ma, Weiqiang Zhao, Yu Gao
DOI: https://doi.org/10.17531/ein/199417
 
RESEARCH PAPER
 

Temperature Prediction for Electromechanical Equipment in Open-Pit Coal Mines Under Complex Working Conditions Using Wavelet Packet Decomposition and Graph Attention Network
Feiyang Zhao, Yiping Yuan, Caifeng Chen, Lu Xiao
DOI: https://doi.org/10.17531/ein/197381
 
RESEARCH PAPER
 

Integrated Multi-Scale Analysis and Advanced Prototype Model for Early Detection of Gearbox Failures Using Infrared Thermal Image Data Under Dynamic Conditions
Jian Ge, Di Zhou, Xiao Zhuang, Xiaomin Wang, Jiawei Xiang
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194151
DOI: https://doi.org/10.17531/ein/194151
 
RESEARCH PAPER
 

Reliability and Fire Performance of Built-up (Battened) Cold-formed Steel Columns: Numerical study
Yang Zhao
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195810
DOI: https://doi.org/10.17531/ein/195810
 
RESEARCH PAPER
 

Remaining Useful Life Prediction based on Multisource Domain Transfer and Unsupervised Alignment
Yi lv, Ningxu Zhou, Zhenfei Wen, Zaichen Shen, Aiguo Chen
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194116
DOI: https://doi.org/10.17531/ein/194116
 
RESEARCH PAPER
 

Fault Diagnosis Model of Hydraulic Motor Based on Fuzzy Neural Network
Shoupeng Song, Guolai Yang, Chuanchuan Cao, Wei Ma
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195532
DOI: https://doi.org/10.17531/ein/195532
 
RESEARCH PAPER
 

Advanced Sparse Filtering-Based Domain Adaptation for Fault Diagnosis in Variable Working Conditions
Ziyou Zhou, Wenhua Chen, Jiajun Qin
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194181
DOI: https://doi.org/10.17531/ein/194181
 
RESEARCH PAPER
 

Multi-Scale Graph Transformer for Rolling Bearing Fault Diagnosis
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194779
DOI: https://doi.org/10.17531/ein/194779
 
RESEARCH PAPER
 

Fault diagnosis method of automobile rolling bearing based on transfer learning and improved DenseNet
Xinxin Lu, Yang Xiao
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194675
DOI: https://doi.org/10.17531/ein/194675
 
RESEARCH PAPER
 

Rolling bearing fault diagnosis method based on adaptive signal diagnosis network and its application
Jing Zhu, Ou Li, Minghui Chen, Bingbing Hu, EnHui Ma
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194673
DOI: https://doi.org/10.17531/ein/194673
 
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
 

A Federated Transfer Fault Diagnosis Method for Cross-Domain and Incomplete Data
Yang Ge, Fusheng Zhang, Yong Ren
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194182
DOI: https://doi.org/10.17531/ein/194182
 
RESEARCH PAPER
 

Application of DBN-based KRLS method for RUL prediction of lithium-ion batteries
Jun Li, Pengfei Ding
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194174
DOI: https://doi.org/10.17531/ein/194174
 
RESEARCH PAPER
 

Prediction of machine state for non-Gaussian degradation model using Hidden Markov Model approach
Joanna Janczura, Wojciech Żuławiński, Hamid Shiri, Tomasz Barszcz, Radosław Zimroz, Agnieszka Wyłomańska
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):193898
DOI: https://doi.org/10.17531/ein/193898
 
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
 

A Multi-scale Attention Mechanism Diagnosis Method with Adaptive Online Updating Based on Deep Learning under Variable Working Conditions
Xue Lei, Ningyun Lu, Bin Jiang, Cunsong Wang, Chuang Chen
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192975
DOI: https://doi.org/10.17531/ein/192975
 
RESEARCH PAPER
 

Data-driven operational pressure estimation for hydraulic actuators fed by fixed displacement pump with variable speed
Andrzej Kosucki, Marta Szczepaniak, Justyna Skowrońska, Paweł Grzejszczyk, Łukasz Stawiński
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192758
DOI: https://doi.org/10.17531/ein/192758
 
RESEARCH PAPER
 

Research on a Lightweight Multi-Scale Feature Fusion and its Fault Diagnosis Method for Rolling Bearing with Limited Labeled Samples
Jiqiang Zhang, Xiangwei Kong, Taorui Han, Liu Cheng, Xueyi Li, Zhitong Liu
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192235
DOI: https://doi.org/10.17531/ein/192235
 
RESEARCH PAPER
 

Temporal Constrained Dynamic Uncertain Causality Graph for Root Cause Analysis of Intermittent Faults
Qiqi Ma, Jiang Long, Xiangnan Shi, Zun Liu, Yangming Guo
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192169
DOI: https://doi.org/10.17531/ein/192169
 
RESEARCH PAPER
 

Analysis of Fault Events in Rail Transit Vehicle Traction Systems Based on Knowledge Graph Reasoning
Zhao Shi, Qianwen Zhong, Shubin Zheng, Jing Wen, Lele Peng
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192171
DOI: https://doi.org/10.17531/ein/192171
 
RESEARCH PAPER
 

Rolling bearing fault diagnosis method based on multi-scale pooling residual convolutional neural network under noisy environment
Chunli Lei, Chengxiang Miao, Yongqin Yu, Lu Wang, Bin Wang
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192167
DOI: https://doi.org/10.17531/ein/192167
 
RESEARCH PAPER
 

Degradation generation and prediction based on machine learning methods: A comparative study
Xintong Li, Kai Song, Jian Shi
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192168
DOI: https://doi.org/10.17531/ein/192168
 
RESEARCH PAPER
 

Temperature Prediction and Performance Comparison of Permanent Magnet Synchronous Motors Using Different Machine Learning Techniques for Early Failure Detection
Emrah Aslan
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192164
DOI: https://doi.org/10.17531/ein/192164
 
RESEARCH PAPER
 

Research on maintenance decision-making approach based on dynamic opportunistic window
Zhang Baoshan, Jilian Guo, Zhangwen Zhou, Xuan Wang, Xiaoxin Liu
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):191515
DOI: https://doi.org/10.17531/ein/191515
 
RESEARCH PAPER
 

Fault Diagnosis of Centrifugal fan Bearings Based on I-CNN and JMMD in the Context of Sample Imbalance
Yang Gao, Xueyi Li
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):191459
DOI: https://doi.org/10.17531/ein/191459
 
RESEARCH PAPER
 

Prediction of cyber-attacks in air transport using neural networks
Mariusz Izdebski, Anna Michalska, Ilona Jacyna-Gołda, Laurian Gherman
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):191476
DOI: https://doi.org/10.17531/ein/191476
 
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
 

Fault diagnosis method for rotating machinery based on SEDenseNet and Gramian Angular Field
Ruoyang Bai, Hongwei Wang, Wenlei Sun, Yuxin Shi
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):191445
DOI: https://doi.org/10.17531/ein/191445
 
RESEARCH PAPER
 

Effect of changes in hydraulic parameters and tank capacity of the hydraulic press system on the heating of the hydraulic oil
Borivoj Zoran Novaković, Luka Djordjević, Mića Đurđev, Ljiljana Radovanović, Ninoslav Zuber, Eleonora Desnica, Mihalj Bakator
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):190826
DOI: https://doi.org/10.17531/ein/190826
 
RESEARCH PAPER
 

Enhancing Demolition Works Safety: Integrating Numerical and Experimental Methods for Structural Failure Prevention in Remote-Controlled Demolition Robots.
Jakub Andruszko, Damian Derlukiewicz
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):190466
DOI: https://doi.org/10.17531/ein/190466
 
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
 

Two-stage Remaining Useful Life Prediction Based on the Wiener Process With Multi-feature Fusion and Stage Division
Qingluan Guan, Zhongyi Zuo, Yanqin Teng, Huixian Zhang, Limin Jia
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):189803
DOI: https://doi.org/10.17531/ein/189803
 
RESEARCH PAPER
 

Modernization of the stamping process using eddy current and load sensors in the manufacturing of automotive parts
Juras Skardžius, Saulius Nagurnas, Paulius Skačkauskas
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):189453
DOI: https://doi.org/10.17531/ein/189453
 
RESEARCH PAPER
 

Fault Detection and Prediction for a Wood Chip Screw Conveyor
Lucas Henriques, Torres Farinha, Mateus Mendes
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):189323
DOI: https://doi.org/10.17531/ein/189323
 
RESEARCH PAPER
 

Influence of Cryogenic Coated Copper Tool Electrode in Electrochemical Micro Machining process of Stainless Steel 316
Geethapriyan T, Muthuramalingam Thangaraj, Khaja Moiduddin, Jufan Zhang, Palani Iyamperumal Anand, Ryszard Machnik
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):188593
DOI: https://doi.org/10.17531/ein/188593
 
RESEARCH PAPER
 

Improving the effectiveness of the DiagBelt+ diagnostic system - analysis of the impact of measurement parameters on the quality of signals
Leszek Jurdziak, Ryszard Błażej, Agata Kirjanów-Błażej, Aleksandra Rzeszowska, Paweł Kostrzewa
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):187275
DOI: https://doi.org/10.17531/ein/187275
 
RESEARCH PAPER
 

A method for determining the location and type of fault in transmission network using neural networks and power quality monitors
Mario Šipoš, Zvonimir KLAIĆ, Karlo Emmanuel Nyarko, Krešimir Fekete
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):187166
DOI: https://doi.org/10.17531/ein/187166
 
RESEARCH PAPER
 

Analysis of remaining useful life of slope based on nonlinear wiener process
Ming Huang, Weihai Yu, Fan Yang
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):187160
DOI: https://doi.org/10.17531/ein/187160
 
RESEARCH PAPER
 

Numerical model of interaction of a mobile lift chain with a main gas pipeline pipe in the process of repair work
Maciej Dutkiewicz, Andriy Andrusyak, Andrii Kychma, Vasyl Vytvytskyi, Andrii Velychkovych
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):187159
DOI: https://doi.org/10.17531/ein/187159
 
RESEARCH PAPER
 

Strain-based running-reliability characterisation in time-domain for risk monitoring under various load conditions
Salvinder Singh Karam Singh, Lennie Abdullah, Shahrum Abdullah, Abdul Hadi Azman, Ahmad Kamal Ariffin
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):186825
DOI: https://doi.org/10.17531/ein/186825
 
RESEARCH PAPER
 

Fusion model based RUL prediction method of lithium-ion battery under working conditions
Pengya Fang, Xiaoxiao Sui, Anhao Zhang, Di Wang, Liping Yin
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):186537
DOI: https://doi.org/10.17531/ein/186537
 
RESEARCH PAPER
 

Research on Online Condition monitoring for Complex System based on Modified Broad Learning Systems
Chong Wang, Jie Liu
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):183600
DOI: https://doi.org/10.17531/ein/183600
 
RESEARCH PAPER
 

Defect Categorization of Ribbon Blender Worm Gearbox Worm Wheel and Bearing Based on Artificial Neural Network
Raghavendra Rajendra Barshikar, Harshvardhan P. Ghongade, Anjali Bhadre, Harjitkumar U. Pawar, Harshal S. Rane
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):185371
DOI: https://doi.org/10.17531/ein/185371
 
RESEARCH PAPER
 

Experimental study and modelling of an air-cooled proton exchange membrane fuel cell stack in the static and dynamic performance
Ireneusz Pielecha, Filip Szwajca
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):184232
DOI: https://doi.org/10.17531/ein/184232
 
RESEARCH PAPER
 

A simulation and experimental verification of the operation of the oxidising catalytic converter in diesel engine.
Stanisław Kruczyński, Marcin Ślęzak
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):184090
DOI: https://doi.org/10.17531/ein/184090
 
RESEARCH PAPER
 

Validation research of pressure decay test method for internal leakage detection of hydraulic cylinder
Weijie Li, Xinbo Qian, Xinyuan Chen, Feihong Li, Yan Lu
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):184039
DOI: https://doi.org/10.17531/ein/184039
 
RESEARCH PAPER
 

Wasserstein Distance- EEMD Enhanced Multi-Head Graph Attention Network for Rolling Bearing Fault Diagnosis Under Different Working Conditions
Xingbing Wang, Yunfeng Yao, Chen Gao
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):184037
DOI: https://doi.org/10.17531/ein/184037
 
RESEARCH PAPER
 

The assessment of the technical condition of a tire belt using computed tomography.
Jan Warczek, Krzysztof Żak
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):183177
DOI: https://doi.org/10.17531/ein/183177
 
RESEARCH PAPER
 

Reduction of dynamic loads in the drive system of mining scraper conveyors through the use of an innovative highly flexible metal coupling
Andrzej Norbert Wieczorek, Łukasz Konieczny, Grzegorz Wojnar, Rafał Wyroba, Krzysztof Filipowicz, Mariusz Kuczaj
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):181171
DOI: https://doi.org/10.17531/ein/181171
 
RESEARCH PAPER
 

Milling cutter fault diagnosis using unsupervised learning on small data: A robust and autonomous framework
Abhishek Patange, Rohan N Soman, Sujit Pardeshi, Mustafa Kuntoglu, Wieslaw Ostachowicz
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):178274
DOI: https://doi.org/10.17531/ein/178274
 
RESEARCH PAPER
 

Dimensionality reduction of rotor fault dataset based on joint embedding of multi-class graphs
Yongfei Zhang, Jiaxuan Wang, Rongzhen Zhao, Linfeng Deng
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):177417
DOI: https://doi.org/10.17531/ein/177417
 
RESEARCH PAPER
 

Vibration Signal Processing for Multirotor UAVs Fault Diagnosis: Filtering or Multiresolution Analysis?
Luttfi A. Al-Haddad, Wojciech Giernacki, Ahmed A. Shandookh, Alaa Abdulhady Jaber, Radosław Puchalski
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):176318
DOI: https://doi.org/10.17531/ein/176318
 
RESEARCH PAPER
 

Research on the results of the WLTP procedure for a passenger vehicle
Monika Andrych-Zalewska, Zdzisław Chłopek, Jerzy Merkisz, Jacek Pielecha
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):176112
DOI: https://doi.org/10.17531/ein/176112
 
RESEARCH PAPER
 

Strength analysis of welded joints in support structures of heavy machinery subjected to changeable loading conditions
Tadeusz Smolnicki, Piotr Sokolski
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):175889
DOI: https://doi.org/10.17531/ein/175889
 
RESEARCH PAPER
 

Reconstruction-based stacked sparse auto-encoder for nonlinear industrial process fault diagnosis
Qihang Weng, Shaojun Ren, Baoyu Zhu, Yinfeng Jin, Fengqi Si
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):175873
DOI: https://doi.org/10.17531/ein/175873
 
RESEARCH PAPER
 

Similarity Based Remaining Useful Life Prediction for Lithium-ion Battery under Small Sample Situation Based on Data Augmentation
Zongyao Wang, Wei Shangguan, Cong Peng, Baigen Cai
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):175585
DOI: https://doi.org/10.17531/ein/175585
 
RESEARCH PAPER
 

Conditional generative adversarial network based data augmentation for fault diagnosis of diesel engines applied with infrared thermography and deep convolutional neural network
Rongcai Wang, Xisheng Jia, Zichang Liu, Enzhi Dong, Siyu Li, Zhonghua Cheng
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):175291
DOI: https://doi.org/10.17531/ein/175291
 
RESEARCH PAPER
 

Fault analysis and reliability evaluation for motorized spindle of cycloidal gear grinding machine based on multi-source bayes
Huiliang Wang, Zhijie Zhang, jie LI, Wen Xin, Chunyang Han
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):175010
DOI: https://doi.org/10.17531/ein/175010
 
RESEARCH PAPER
 

Fault Diagnosis of Suspension System Based on Spectrogram Image and Vision Transformer
Arun Balaji P, Naveen Venkatesh S, Sugumaran V
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(1):174860
DOI: https://doi.org/10.17531/ein/174860
 
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
 

A Semi-Supervised Siamese Network for Complex Aircraft System Fault Detection with Limited Labeled Fault Samples
Xinyun Zhu, Jianzhong Sun, Hanchun Hu, Chunhua Li
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):174382
DOI: https://doi.org/10.17531/ein/174382
 
RESEARCH PAPER
 

Generative modelling of vibration signals in machine maintenance
Andrzej Adam Puchalski, Iwona Komorska
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):173488
DOI: https://doi.org/10.17531/ein/173488
 
RESEARCH PAPER
 

Deformation measurement system for UAV components to improve their safe operation
Zbigniew Czyż, Patryk Jakubczak, Piotr Podolak, Krzysztof Skiba, Paweł Karpiński, Magda Droździel-Jurkiewicz, Mirosław Wendeker
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):172358
DOI: https://doi.org/10.17531/ein/172358
 
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
 

Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis
Mateusz Piechocki, Tomasz Pajchrowski, Marek Kraft, Marcin Wolkiewicz, Paweł Ewert
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):170114
DOI: https://doi.org/10.17531/ein/170114
 
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
 

Mathematical Calculation of Material Reliability Using Surface Roughness Feature Based on Plasma Material Interaction Experiment Results
Alper Pahsa, Yıldırım Aydoğdu, Fahrettin Göktaş
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):169815
DOI: https://doi.org/10.17531/ein/169815
 
RESEARCH PAPER
 

Modelling and evaluating piston slap-induced cavitation of cylinder liners in heavy-duty diesel engines.
Dong Liu, Nannan Sun, Guixiang Zhu, Hengchao Cao, Tie Wang, Guoxing Li, Fengshou Gu
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):169644
DOI: https://doi.org/10.17531/ein/169644
 
RESEARCH PAPER
 

Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis
Yunus Emre Karabacak
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):168082
DOI: https://doi.org/10.17531/ein/168082
 
RESEARCH PAPER
 

Aircraft Bleed Air System Fault Prediction based on Encoder-Decoder with Attention Mechanism
Siyu Su, Youchao Sun, Chong Peng, Yifan Wang
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):167792
DOI: https://doi.org/10.17531/ein/167792
 
RESEARCH PAPER
 

Hydropneumatic suspension testing of a wheeled armoured personnel carrier
Zdzisław Hryciów, Piotr Rybak, Michał Wojciechowski, Przemysław Wachowiak, Bartosz Kalicki
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):162497
DOI: https://doi.org/10.17531/ein/162497
 
RESEARCH PAPER
 

Multi-feature spatial distribution alignment enhanced domain adaptive method for tool condition monitoring
Zhendong Hei, Bintao Sun, Gaonghai Wang, Yongjian Lou, Yuqing Zhou
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):171750
DOI: https://doi.org/10.17531/ein/171750
 
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
 
RESEARCH PAPER
 

Fault diagnosis of machines operating in variable conditions using artificial neural network not requiring training data from a faulty machine
Paweł Pawlik, Konrad Kania, Bartosz Przysucha
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):168109
DOI: https://doi.org/10.17531/ein/168109
 
RESEARCH PAPER
 

Time-frequency Representation -enhanced Transfer Learning for Tool Condition Monitoring during milling of Inconel 718
Yuqing Zhou, Wei Sun, Canyang Ye, Bihui Peng, Xu Fang, Canyu Lin, Gonghai Wang, Anil Kumar, Weifang Sun
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):165926
DOI: https://doi.org/10.17531/ein/165926
 
RESEARCH PAPER
 

Investigation of exhaust emissions from the gasoline engine of a light duty vehicle in the Real Driving Emissions test
Monika Andrych-Zalewska, Zdzislaw Chlopek, Jacek Pielecha, Jerzy Merkisz
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):165880
DOI: https://doi.org/10.17531/ein/165880
 
RESEARCH PAPER
 

Modeling and Identification Method of Bolt Loosening of Joint Surface under Axial Tension of Multistage Disk-Drum Rotor
Cong Yue, Xiangmin Zheng, Chaoge Wang, Hao Liu, Hu Chen
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):165779
DOI: https://doi.org/10.17531/ein/165779
 
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eISSN:2956-3860
ISSN:1507-2711
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