Eksploatacja i Niezawodność – Maintenance and Reliability

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".

Editor-in-Chief: Anna Borucka

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2.5

IF 2022

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IF₅

5.4

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200

182.42

Most read Most cited Online first

Comparative analysis of small size non-pneumatic tires and pneumatic tires - radial stiffness and hysteresis, selected parameters of the contact patch

Jerzy Jackowski, Marcin Żmuda, Marcin Wieczorek

Reliability Evaluation of Transmission Planetary Gears “bottom-up” approach

Predrag Živković, Miroslav Milutinović, Milan Tica, Spasoje Trifković, Ivica Čamagić

Semi-Markov approach for reliability modelling of light utility vehicles

Mateusz Oszczypała, Jarosław Ziółkowski, Jerzy Małachowski

Evaluation of the efficiency of the delivery process in the technical object of transport infrastructure with the application of a simulation model

Aleksandra Zabielska, Marianna Jacyna, Michał Lasota, Karol Nehring

Component Maintenance Strategies and Risk Analysis for Random Shock Effects Considering Maintenance Costs

Chao Zhang, Yadong Zhang, Hongyan Dui, Shaoping Wang, Mileta Tomovic

Methodological aspects of risk mapping in multimode transport systems

Jacek Kukulski, Konrad Lewczuk, Ignacy Góra, Mariusz Wasiak

Evaluation of the efficiency of the delivery process in the technical object of transport infrastructure with the application of a simulation model

Aleksandra Zabielska, Marianna Jacyna, Michał Lasota, Karol Nehring

Analysis of energy efficiency and dynamics during car acceleration

Mariusz Graba, Andrzej Bieniek, Krzysztof Prażnowski, Krystian Hennek, Jarosław Mamala, Rafał Burdzik, Michał Śmieja

Research on Fault Diagnosis of Highway Bi-LSTM Based on Attention Mechanism

Xueyi Li, Kaiyu Su, Qiushi He, Xiangkai Wang, Zhijie Xie

Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography – a hybrid approach

Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla, Monika Kulisz, Łukasz Skowron, Manuchehr Soleimani

Strength analysis of welded joints in support structures of heavy machinery subjected to changeable loading conditions

Tadeusz Smolnicki, Piotr Sokolski

Reconstruction-based stacked sparse auto-encoder for nonlinear industrial process fault diagnosis

Qihang Weng, Shaojun Ren, Baoyu Zhu, Yinfeng Jin, Fengqi Si

Zongyao Wang, Wei Shangguan, Cong Peng, Baigen Cai

Research on integrated scheduling of equipment predictive maintenance and production decision based on physical modeling approach

Qinglei Zhang, Lei Yang, Jianguo Duan, Jiyun Qin, Ying Zhou

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

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Current issue

4/2023 vol. 25

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

Abstract

eISSN:	2956-3860
ISSN:	1507-2711

A novel method of health indicator construction and remaining useful life prediction based on deep learning

A genetic algorithm-based approach for flexible job shop rescheduling problem with machine failure interference

Time-dependent reliability analysis of corroded RC beams based on the phase-type fitting method

An integrated approach to estimate storage reliability with masked data from series system

Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors

A Semi-Supervised Siamese Network for Complex Aircraft System Fault Detection with Limited Labeled Fault Samples

Investigation into the Flow of Gas-Solids during Dry Dust Collectors Exploitation, as Applied in Domestic Energy Facilities – Numerical Analyses

Generative modelling of vibration signals in machine maintenance

An assessment of the reliability of CFRP composites used in nodes of friction after impact of UV-A impacts and thermal shocks

Process machining allowance for reliability analysis of mechanical parts based on hidden quality loss

Multi-feature spatial distribution alignment enhanced domain adaptive method for tool condition monitoring

Maintenance policy of degradation components based on the two-phase Wiener process

Assessment of a Carbon Fiber Prosthetic Running Blade for Enhanced Reliability

Deformation measurement system for UAV components to improve their safe operation

Research on resilience model of UAV swarm based on complex network dynamics

Effect of different roller end-flange constructions on the fatigue life of the cylindrical roller bearings: A novel flange deformation formula

Study on the influence of pin shaft clearance on the bearing performance of the hydraulic support

Reliability modeling based on multiple wiener degradation-shock competing failure process and dynamic failure threshold

Application of Principle Component Analysis and logistic regression to support Six Sigma implementation in maintenance

Improving Diesel Engine Reliability Using an Optimal Prognostic Model to Predict Diesel Engine Emissions and Performance Using Pure Diesel and Hydrogenated Vegetable Oil