Eksploatacja i Niezawodność – Maintenance and Reliability is an international, peer-reviewed, open access journal of applied maintenance and reliability, published quarterly online by Polish Maintenance Society.

Attention! In accordance with the requirements of citation databases, proper citation of publications appearing in our Quarterly should include the full name of the journal in Polish and English without Polish diacritical marks, i.e. "Eksploatacja i Niezawodnosc – Maintenance and Reliability".

We kindly inform you that the publication limit for 2024 has been reached. We are currently accepting submissions for issue 3/2025. All articles will be published on an ongoing basis as online first. Due to the high volume of submissions, the processing time is longer than usual.

Editor-in-Chief: Anna Borucka

2.2

IF 2023

1.8

IF₅

5.7

0.488

1.009

140

182.42

Most read Most cited Online first

Fusion model based RUL prediction method of lithium-ion battery under working conditions

Pengya Fang, Xiaoxiao Sui, Anhao Zhang, Di Wang, Liping Yin

Research on Equipment Reliability Modeling and Periodic Maintenance Strategies in Dynamic Environment

Zhongji Su, Zexi Hua, Die Hu, Mingjing Zhao

Reliability Assessment Method Based on Small Sample Accelerated Life Test Data

Dazhang You, Shan Liu, Fangke Li, Hang Liu, Yepeng Zhang

Bayesian inference for the inverse Weibull distribution based on symmetric and asymmetric balanced loss functions with application

Mustafa Hasaballah, Yusra A. Tashkandy, Oluwafemi Balogun, M. E. Bakr

Occupational safety management and human reliability testing during the operation of a plastic injection molding machine

Michał Pałęga, Dariusz Rydz, Mariusz Salwin, Konrad Lewczuk, Tomasz Chmielewski

Bayesian inference for the inverse Weibull distribution based on symmetric and asymmetric balanced loss functions with application

Mustafa Hasaballah, Yusra A. Tashkandy, Oluwafemi Balogun, M. E. Bakr

Fusion model based RUL prediction method of lithium-ion battery under working conditions

Pengya Fang, Xiaoxiao Sui, Anhao Zhang, Di Wang, Liping Yin

A method for calculating the technical readiness of aviation refuelling vehicles

Jarosław Ziółkowski, Mateusz Oszczypała, Aleskandra Lęgas, Jakub Konwerski, Jerzy Małachowski

Temperature Prediction and Performance Comparison of Permanent Magnet Synchronous Motors Using Different Machine Learning Techniques for Early Failure Detection

Emrah Aslan

Evaluation of readiness of the technical system using the semi-Markov model with selected sojourn time distributions

Edward Kozłowski, Anna Borucka, Piotr Oleszczuk, Norbert Leszczyński

Research and Reliability Analysis on the Impact of Biomimetic Groove Group Arrangement Structures on the Sealing Performance of Sealing Rings

Zhuang Yuhao, Gu Yunqing, Yan Muhan, Mou Chengqi, Jin Yuxin, Huang Zhangcheng, Ren Yun

Optimal Imperfect Predictive Maintenance Based on Interval Remaining Useful Life Prediction

Xiaoliang He, Chun Su, Yuru Zhang, Jiuqiang Tang

Real-Time Fault Monitoring Method for Logistics Vehicles Based on Chaotic Ant Colony Algorithm

Yinxia Zhang, Liang Wang

Remaining Useful Life Prediction Based on Cross-Temporal Dynamic Graph Convolutional Network

Liwei Deng, Jixin Liu, Mei Liu, Yue Cao, Chenglin Wen, Xingchao Deng

Increasing the accuracy of calculated indicators of operational reliability of industrial electric motors

Oleg Gubarevych, Sławomir Wierzbicki, Olha Melnyk, Oleksandr Kyrychenko, Oksana Riashchenko

View all

Current issue

2/2025 vol. 27

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

Abstract

eISSN:	2956-3860
ISSN:	1507-2711

Current issue

Multi-Scale Graph Transformer for Rolling Bearing Fault Diagnosis

Application of DBN-based KRLS method for RUL prediction of lithium-ion batteries

Fatigue strength reliability assessment of turbofan blades subjected to intake disturbances based on the improved kriging model

A Federated Transfer Fault Diagnosis Method for Cross-Domain and Incomplete Data

Improved Graph Convolutional Neural Networks-based Cellular Network Fault Diagnosis

Rolling bearing fault diagnosis method based on adaptive signal diagnosis network and its application

Fault diagnosis method of automobile rolling bearing based on transfer learning and improved DenseNet

Analysis and Improvement of Coal-loading Performance and Reliability of Thin Seam Coal Shearer Drums

Estimate and Extend the Time between Overhauls for the Railcar Body

Advanced Sparse Filtering-Based Domain Adaptation for Fault Diagnosis in Variable Working Conditions

Enhancing Flexibility and Reliability in Smart Distribution Networks: A Self-Healing Approach

Streamlining Smart Grids Reliability Assessment: An Innovative Mapping Approach

Reliability analysis of the vehicle door system EDCU based on Weibull distribution

Fault Diagnosis Model of Hydraulic Motor Based on Fuzzy Neural Network

Numerical investigation on effects of steel I-section beams on the blast resistance of a stiffened steel tank under blast loading

Remaining Useful Life Prediction based on Multisource Domain Transfer and Unsupervised Alignment

Evaluating vehicle repair duration in relation to driving styles

Dynamic Modeling and Optimization of Energy Storage in Peer-to-Peer Energy Trading Systems

Optimal maintenance and pricing strategy for a periodic review production system with fixed maintenance costs and limited maintenance capacity

Reliability and Fire Performance of Built-up (Battened) Cold-formed Steel Columns: Numerical study

Optimizing IoT Routing with a Focus on Service Quality Using Integrated Big Bang-Big Crunch Central Force Optimization

Enhancing Distribution System Flexibility through Network Restructuring and Optimal Planning of Distributed Energy Resources

Analysing the impact of electric kick-scooters on drivers: vibration and frequency transmission during the ride on different types of urban pavements

Reliability and efficiency in technology selection in logistics facilities – multi-criteria decision support using the AHP method

Integrated Multi-Scale Analysis and Advanced Prototype Model for Early Detection of Gearbox Failures Using Infrared Thermal Image Data Under Dynamic Conditions