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Keyword fault diagnosis

 
RESEARCH PAPER
 

A Federated Transfer Fault Diagnosis Method for Cross-Domain and Incomplete Data
Yang Ge, Fusheng Zhang, Yong Ren
DOI: https://doi.org/10.17531/ein/194182
 
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
 

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
 

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
 

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
 

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 on Fault Diagnosis of Highway Bi-LSTM Based on Attention Mechanism
Xueyi Li, Kaiyu Su, Qiushi He, Xiangkai Wang, Zhijie Xie
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):162937
DOI: https://doi.org/10.17531/ein/162937
 
RESEARCH PAPER
 

Induction motor fault classification via entropy and column correlation features of 2D represented vibration data
Murat Basaran, Mehmet Fidan
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(1):132-142
DOI: https://doi.org/10.17531/ein.2021.1.14
 
RESEARCH PAPER
 

Worm gear condition monitoring and fault detection from thermal images via deep learning method
Yunus Emre Karabacak, Nurhan Gürsel Özmen, Levent Gümüşel
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):544-556
DOI: https://doi.org/10.17531/ein.2020.3.18
 
RESEARCH PAPER
 

Fault diagnosis and identification in the distribution network using the fuzzy expert system
S. Kaluđer, K. Fekete, L. Jozsa, Z. Klaić
Eksploatacja i Niezawodność – Maintenance and Reliability 2018;20(4):621-629
DOI: https://doi.org/10.17531/ein.2018.4.13
 
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
 
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eISSN:2956-3860
ISSN:1507-2711
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