المؤلفون: Said Djaballah, Lotfi Saidi, Kamel Meftah, Abdelmoumene Hechifa, Mohit Bajaj, Ievgen Zaitsev

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

مصطلحات موضوعية: Bearing fault detection, LSTM, Random forest, Grey wolf optimization, Hybrid model, Vibration signals, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/87b0f1f21e7f48f4bf16c24cde9fe086

المؤلفون: Meng Wang, Jiong Yu, Hongyong Leng, Xusheng Du, Yiran Liu

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

مصطلحات موضوعية: Bearing fault detection, Graph neural network, Ensemble learning, Outlier detection, Intelligent fault detection, Machine learning, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/ccef763918e34d7fb8978d9e3c9f9b89

المؤلفون: Yingying Xu, Chunhe Song, Chu Wang

المصدر: Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 4886-4907 (2024)

مصطلحات موضوعية: bearing fault detection, few-shot learning, deep learning, nonlinear mapping, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1551-0018

URL الوصول: https://doaj.org/article/99b7b2bdcd5b4dc1b2a614a1aacbb641

المؤلفون: Kiranyaz, Serkan, Devecioglu, Ozer Can, Alhams, Amir, Sassi, Sadok, Ince, Turker, Abdeljaber, Osama, Avci, Onur, Gabbouj, Moncef

المصدر: Mechanical systems and signal processing. 210

مصطلحات موضوعية: Operational Neural Networks, Bearing fault detection, 1D operational GANs, Machine Health Monitoring, Blind domain transition, Computer Science, Datavetenskap

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-128511
https://doi.org/10.1016/j.ymssp.2024.111147
https://lnu.diva-portal.org/smash/get/diva2:1848108/FULLTEXT01.pdf

المؤلفون: X. Y. Fu, J. H. Zhao, Z. J. Chen

المصدر: Metalurgija, Vol 63, Iss 1, Pp 105-108 (2024)

مصطلحات موضوعية: bearing fault detection, rotating vibration, neural network, CBAM-LSTM, Mining engineering. Metallurgy, TN1-997

وصف الملف: electronic resource

Relation: https://hrcak.srce.hr/file/443775; https://doaj.org/toc/0543-5846; https://doaj.org/toc/1334-2576

URL الوصول: https://doaj.org/article/73b3858dc4e74258992dcee65966f5b4

المؤلفون: Anthony Y. Zhou, Amir Barati Farimani

المصدر: IEEE Access, Vol 12, Pp 70719-70728 (2024)

مصطلحات موضوعية: Bearing fault detection, machine health monitoring, signal classification, transformer, pretraining, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10528283/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/0c5843f15f11407db08c0050c91aece3

المؤلفون: Daniel Pinardi, Luca Arpa, Andrea Toscani, Elisabetta Manconi, Marco Binelli, Emiliano Mucchi

المصدر: IEEE Access, Vol 12, Pp 98121-98129 (2024)

مصطلحات موضوعية: Bearing fault detection, data acquisition system, digital bus, industrial condition monitoring, predictive maintenance, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10597382/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/9a17af20986a452e82396746dacd1dbc

المؤلفون: Floh Florian, Weiss Helmut, Makoschitz Markus

المصدر: Power Electronics and Drives, Vol 9, Iss 1, Pp 540-561 (2024)

مصطلحات موضوعية: condition monitoring, bearing faults, bearing fault detection, induction machine, Electronics, TK7800-8360

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2543-4292

URL الوصول: https://doaj.org/article/5883ca72bab54c82b685e34343a053bc

المؤلفون: Tianhao Wang, Hongying Meng, Fan Zhang, Rui Qin

المصدر: Technologies, Vol 12, Iss 9, p 144 (2024)

مصطلحات موضوعية: support vector machine, grey wolf optimizer, bearing fault detection, fusion data, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-7080/12/9/144; https://doaj.org/toc/2227-7080

URL الوصول: https://doaj.org/article/86236834a5424e62bd2cb2df6608cc7c

المؤلفون: Tianhao Wang, Hongying Meng, Rui Qin, Fan Zhang, Asoke Kumar Nandi

المصدر: Applied Sciences, Vol 14, Iss 7, p 3129 (2024)

مصطلحات موضوعية: wind turbines, neural network, real-time implementation, bearing fault detection, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/7/3129; https://doaj.org/toc/2076-3417; https://doaj.org/article/daaed173a04d4b61aee96f0b73cec413

الاتاحة: https://doi.org/10.3390/app14073129
https://doaj.org/article/daaed173a04d4b61aee96f0b73cec413

المؤلفون: Ming Zhang, Xing Xing, Wilson Wang

المصدر: Sensors, Vol 24, Iss 8, p 2470 (2024)

مصطلحات موضوعية: smart sensors, data acquisition, bearing fault detection, vibration signal analysis, variational mode decomposition, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/24/8/2470; https://doaj.org/toc/1424-8220; https://doaj.org/article/30a0587798b34159a29bc68304ff5d56

الاتاحة: https://doi.org/10.3390/s24082470
https://doaj.org/article/30a0587798b34159a29bc68304ff5d56

المؤلفون: Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal, Saifur Rahman, Muawia Abdelkafi Magzoub, Muhammad Armghan Latif, Faisal Althobiani, Imran Khan, Ghulam Abbas

المصدر: IEEE Access, Vol 11, Pp 127783-127799 (2023)

مصطلحات موضوعية: Bearing fault detection, deep convolutional neural network, transfer learning, fine tuning, time series, data pre-processing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10315006/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/003b5aea1d3f49ea80d37120ca55dc1b

المؤلفون: Saja Jawad, Alaa Jaber

المصدر: Engineering and Technology Journal, Vol 41, Iss 1, Pp 86-95 (2023)

مصطلحات موضوعية: vibration signal analysis, bearing fault detection, time-domain signal analysis, frequency-domain signal analysis, fault frequencies, Science, Technology

وصف الملف: electronic resource

Relation: https://etj.uotechnology.edu.iq/article_175635_295f0e5dafdf2f558ebd6b8dafa6cc25.pdf; https://doaj.org/toc/1681-6900; https://doaj.org/toc/2412-0758

URL الوصول: https://doaj.org/article/1049fd4d30724b3e964c621b151900b9

المؤلفون: Kaijin Xu, Xiangjin Song

المصدر: Sensors, Vol 24, Iss 1, p 52 (2023)

مصطلحات موضوعية: fractional linear prediction (FLP), linear prediction (LP), time-shifting (TS), bearing fault detection, spectrum analysis, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/1/52; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/548f00a7b09f4f9199234847ba0eebd0

المؤلفون: Pascal Dore, Saad Chakkor, Ahmed El Oualkadi, Mostafa Baghouri

المصدر: e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 3, Iss , Pp 100096- (2023)

مصطلحات موضوعية: Real-time fault monitoring, Bearing fault detection, Bearing fault classification, Fuzzy system, CAFH, Fast-ESPRIT, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772671122000675; https://doaj.org/toc/2772-6711

URL الوصول: https://doaj.org/article/ed13641bcc644d379ac58e05e573ae44

المؤلفون: Victor Avina-Corral, Jose de Jesus Rangel-Magdaleno, Hayde Peregrina-Barreto, Juan Manuel Ramirez-Cortes

المصدر: IEEE Access, Vol 10, Pp 24181-24193 (2022)

مصطلحات موضوعية: Bearing fault detection (BFD), edge detection (ED), induction machine (IM), maximal overlap discrete wavelet transform, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9721248/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/26e938c559b84eddbffcb59a37fb1fca

المؤلفون: Weichao Huang, Ganggang Zhang

المصدر: Sensors; Volume 23; Issue 14; Pages: 6529

مصطلحات موضوعية: multistable stochastic resonance, adaptive parameter, improved grey wolf algorithm, bearing fault detection

وصف الملف: application/pdf

Relation: Physical Sensors; https://dx.doi.org/10.3390/s23146529

الاتاحة: https://doi.org/10.3390/s23146529

المؤلفون: Paweł Knap, Krzysztof Lalik, Patryk Bałazy

المصدر: Sensors, Vol 23, Iss 9, p 4295 (2023)

مصطلحات موضوعية: vibrodiagnostics, neural networks, predictive maintenance, structural health monitoring, bearing fault detection, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/9/4295; https://doaj.org/toc/1424-8220; https://doaj.org/article/ae0ff9f60f08463fbb33206190a12b38

الاتاحة: https://doi.org/10.3390/s23094295
https://doaj.org/article/ae0ff9f60f08463fbb33206190a12b38

المؤلفون: Turker Ince, Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz, Onur Avci, Levent Eren, Moncef Gabbouj

المصدر: IEEE Access, Vol 9, Pp 139260-139270 (2021)

مصطلحات موضوعية: Convolutional neural networks, operational neural networks, early bearing fault detection, fault severity classification, condition monitoring of rotating elements, machine health monitoring, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9558835/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/22f00e6393e2489baee8e13bc7e3ad20

المؤلفون: Feng Liu, Xinxin Li, Kexue Huang, Jiangshu Xiang, Wenxian Chen, Yanan Xiao, Hanling Mao, Zhenfeng Huang

المصدر: IEEE Access, Vol 9, Pp 101030-101041 (2021)

مصطلحات موضوعية: Bearing fault detection, collaborative sparse regularization, convex optimization, sparse representation, repetitive transient extraction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9486892/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b7b46d26b299465b9bde05fe1400ec35