المؤلفون: Durjay Saha, Md. Emdadul Hoque, Muhammad E. H. Chowdhury

المصدر: IEEE Access, Vol 12, Pp 5986-6000 (2024)

مصطلحات موضوعية: Bearing fault, bearing fault classification, bearing fault classification under variable working conditions, machine condition monitoring, random forest, transfer learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10374127/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/acc23c6acf784f3789454424c9ca7b57

المؤلفون: Gbanaibolou Jombo, Yu Zhang

المصدر: Eng, Vol 4, Iss 1, Pp 47-79 (2023)

مصطلحات موضوعية: machine condition monitoring, anomalous sound detection, industrial sound analysis, detection and classification of acoustic scenes and events, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2673-4117/4/1/4; https://doaj.org/toc/2673-4117

URL الوصول: https://doaj.org/article/c13747e4becd440cb881b2ff96c3e226

المؤلفون: L. O. S. Grillo, C. A. C. Wengerkievicz, H. F. dos Santos, N. J. Batistela, P. Kuo-Peng, N. Sadowski, T. K. Matsuo, C. L. de Souza, L. M. de Freitas, R. J. Nascimento

المصدر: Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 21, Iss 4, Pp 527-548 (2022)

مصطلحات موضوعية: external magnetic field, fault detection, machine condition monitoring, synchronous generator, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742022000400527&tlng=en; https://doaj.org/toc/2179-1074

URL الوصول: https://doaj.org/article/555f0e8ded8c4e97a7564903c63d9f9b

المؤلفون: Mert Sehri, Patrick Dumond, Michel Bouchard

المصدر: Data in Brief, Vol 49, Iss , Pp 109327- (2023)

مصطلحات موضوعية: Vibration, Machine condition monitoring, Fault detection/Diagnosis, Signal processing, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352340923004456; https://doaj.org/toc/2352-3409

URL الوصول: https://doaj.org/article/f12aa090ddfc49dbbd19b77e07412b89

المؤلفون: Wenhao Yan, Jing Wang, Shan Lu, Meng Zhou, Xin Peng

المصدر: Processes; Volume 11; Issue 2; Pages: 369

مصطلحات موضوعية: industrial process monitoring, machine condition monitoring, AI, RTFD, industrial smart manufacturing

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Automation Control Systems; https://dx.doi.org/10.3390/pr11020369

الاتاحة: https://doi.org/10.3390/pr11020369

المؤلفون: Alvarado-Hernandez, Alvaro Ivan, Zamudio-Ramirez, Israel, Jaen-Cuellar, Arturo Yosimar, Roque Alfredo Osornio-Rios, Donderis Quiles, Vicente, Antonino-Daviu, Jose Alfonso

المساهمون: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials, Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny, European Regional Development Fund, Consejo Nacional de Ciencia y Tecnología, México, Ministerio de Ciencia, Innovación y Universidades

مصطلحات موضوعية: Machine condition monitoring, Smart sensors, Thermography, Development boards, Data processing algorithms, INGENIERIA ELECTRICA

Relation: Sensors; info:eu-repo/grantAgreement/CONACYT//1184196/; info:eu-repo/grantAgreement/MCIU//PID2021-122343OB-I00/; https://doi.org/10.3390/s22166075; http://hdl.handle.net/10251/192570; urn:eissn:1424-8220; PMC9413756

الاتاحة: http://hdl.handle.net/10251/192570
https://doi.org/10.3390/s22166075

المؤلفون: Simon Walther, Axel Fuerst

المصدر: Applied Sciences; Volume 12; Issue 5; Pages: 2287

مصطلحات موضوعية: intelligent sensing and perception, wear, machine learning, machine condition monitoring, vibration and acoustics, bearings, deep learning, LSTM, fault classification

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/app12052287

الاتاحة: https://doi.org/10.3390/app12052287

المؤلفون: Michał Śmieja, Jarosław Mamala, Krzysztof Prażnowski, Tomasz Ciepliński, Łukasz Szumilas

المصدر: Sensors; Volume 21; Issue 19; Pages: 6572

مصطلحات موضوعية: motion magnification, mechanical vibration, visual vibration estimation, machine condition monitoring

وصف الملف: application/pdf

Relation: Physical Sensors; https://dx.doi.org/10.3390/s21196572

الاتاحة: https://doi.org/10.3390/s21196572

المؤلفون: Pengfei Tian, Carlos A. Platero, Konstantinos N. Gyftakis, Jose Manuel Guerrero

المصدر: Sensors; Volume 20; Issue 3; Pages: 749

مصطلحات موضوعية: electrical machine condition monitoring, field winding inter-turn fault, stray flux, stray flux sensor, stator inter-turn fault

وصف الملف: application/pdf

Relation: Physical Sensors; https://dx.doi.org/10.3390/s20030749

الاتاحة: https://doi.org/10.3390/s20030749

المؤلفون: Elena

مصطلحات موضوعية: Machine Condition Monitoring Market

Relation: https://doi.org/10.5281/zenodo.4642523; https://doi.org/10.5281/zenodo.4642524; oai:zenodo.org:4642524

الاتاحة: https://doi.org/10.5281/zenodo.4642524

المؤلفون: Russell, Matthew B

المصدر: Theses and Dissertations--Electrical and Computer Engineering

مصطلحات موضوعية: Data-Driven Intelligent Manufacturing, Machine Condition Monitoring, Deep Learning, Artificial Intelligence, Artificial Intelligence and Robotics, Industrial Technology, Maintenance Technology, Manufacturing, Signal Processing

وصف الملف: application/pdf

Relation: https://uknowledge.uky.edu/ece_etds/190; https://uknowledge.uky.edu/context/ece_etds/article/1202/viewcontent/UKYETD.pdf

الاتاحة: https://uknowledge.uky.edu/ece_etds/190
https://doi.org/10.13023/etd.2023.072
https://uknowledge.uky.edu/context/ece_etds/article/1202/viewcontent/UKYETD.pdf

المؤلفون: Swati N. Kamble, B. Rajiv

المصدر: Materials Today: Proceedings. 50:1930-1935

مصطلحات موضوعية: Remedial action, Product (business), Computer science, media_common.quotation_subject, Profit margin, Machine condition monitoring, Condition monitoring, Quality (business), Failure mode and effects analysis, Abstract machine, media_common, Reliability engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::177c6ce17f195793987a3d6d8d967a5d
https://doi.org/10.1016/j.matpr.2021.09.317

المؤلفون: Alvaro Ivan Alvarado-Hernandez, Israel Zamudio-Ramirez, Arturo Yosimar Jaen-Cuellar, Roque Alfredo Osornio-Rios, Vicente Donderis-Quiles, Jose Alfonso Antonino-Daviu

المصدر: Sensors; Volume 22; Issue 16; Pages: 6075

مصطلحات موضوعية: Development boards, Reproducibility of Results, Biochemistry, Atomic and Molecular Physics, and Optics, Analytical Chemistry, Smart sensors, Machine condition monitoring, Thermography, INGENIERIA ELECTRICA, Electrical and Electronic Engineering, Data processing algorithms, Instrumentation, machine condition monitoring, smart sensors, thermography, development boards, data processing algorithms, Algorithms

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d5091d2f32380bd041b4f2846fb14c2
https://hdl.handle.net/10251/192570

المؤلفون: De Bisschop, Jan, Abdallh, Ahmed Abou-Elyazied, Sergeant, Peter, Dupré, Luc

المصدر: IET ELECTRIC POWER APPLICATIONS ; ISSN: 1751-8660

مصطلحات موضوعية: finite element analysis, sensitivity analysis, inverse problems, synchronous machines, permanent magnet machines, magnetic flux, rotors, condition monitoring, demagnetisation, harmonic analysis, harmonic sensitive selection, harmonic sensitive analysis, demagnetisation faults, double rotor axial flux permanent magnet synchronous machine condition monitoring, yokeless and segmented armature axial flux permanent magnet synchronous machine, YASA axial flux permanent magnet synchronous machine, asymmetrical demagnetisation defects, real-time condition monitoring algorithm, inverse problem, fast forward model, frequency-based analytical model, three-phase terminal voltages, three-phase current waveforms, computational time reduction, Cramer-Rao lower bound technique, finite element simulations

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/8550021; http://hdl.handle.net/1854/LU-8550021; http://dx.doi.org/10.1049/iet-epa.2017.0568; https://biblio.ugent.be/publication/8550021/file/8550023

الاتاحة: https://biblio.ugent.be/publication/8550021
http://hdl.handle.net/1854/LU-8550021
https://doi.org/10.1049/iet-epa.2017.0568
https://biblio.ugent.be/publication/8550021/file/8550023

المؤلفون: Xiaoli Tang, Xianghong Wang, Robert Cattley, Fengshou Gu, Andrew D. Ball

المصدر: Sensors; Volume 18; Issue 12; Pages: 4113

مصطلحات موضوعية: energy harvesting systems, machine condition monitoring, wireless sensor networks, maintenance-free

وصف الملف: application/pdf

Relation: Sensor Networks; https://dx.doi.org/10.3390/s18124113

الاتاحة: https://doi.org/10.3390/s18124113

المؤلفون: Ahmed, HOA, Nandi, AK

مصطلحات موضوعية: machine condition monitoring (MCM), bearing fault classification, compressive sampling (CS), principal component analysis (PCA), linear discriminant analysis (LDA), canonical correlation analysis (CCA)

وصف الملف: 5516 - 5524; Print-Electronic

Relation: IEEE Transactions on Industrial Electronics; Ahmed, H.O.A. and Nandi, A. K. (2019) 'Three-Stage Hybrid Fault Diagnosis for Rolling Bearings With Compressively Sampled Data and Subspace Learning Techniques,' IEEE Transactions on Industrial Electronics, 66(7), pp. 5516-5524. doi:10.1109/TIE.2018.2868259.; https://bura.brunel.ac.uk/handle/2438/16745; https://doi.org/10.1109/TIE.2018.2868259

الاتاحة: https://bura.brunel.ac.uk/handle/2438/16745
https://doi.org/10.1109/TIE.2018.2868259

المؤلفون: Jérôme Antoni

المصدر: Acoustics Australia. 49:177-184

مصطلحات موضوعية: Linear transform, Acoustics and Ultrasonics, Computer science, Feature (machine learning), Machine condition monitoring, Condition monitoring, Dimension (data warehouse), Filter bank, Health indicator, Data science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a8f9caf31191a4cbd2b6774150c4cd17
https://doi.org/10.1007/s40857-021-00232-7

المؤلفون: Cawley, P

المساهمون: Engineering & Physical Science Research Council (EPSRC)

المصدر: 1244 ; 1225

مصطلحات موضوعية: Science & Technology, Technology, Engineering, Multidisciplinary, Instruments & Instrumentation, structural health monitoring in industry, applications, economics of structural health monitoring, system design, performance validation, data processing, global monitoring, local monitoring, machine condition monitoring, structural identification, GUIDED-WAVE, FUSELAGE STRUCTURE, COMPLEX STRUCTURES, ACOUSTIC-EMISSION, DAMAGE, IDENTIFICATION, PIPES, SENSORS, REFLECTION, AIRCRAFT, 09 Engineering, Acoustics

Relation: Structural Health Monitoring; http://hdl.handle.net/10044/1/54437; https://dx.doi.org/10.1177/1475921717750047; EP/L022125/1

الاتاحة: http://hdl.handle.net/10044/1/54437
https://doi.org/10.1177/1475921717750047

المؤلفون: Asoke K. Nandi, Hosameldin Ahmed

المصدر: IEEE Transactions on Industrial Electronics. 66:5516-5524

مصطلحات موضوعية: Computer science, bearing fault classification, canonical correlation analysis (CCA), Feature extraction, 02 engineering and technology, Linear Discriminant Analysis, linear discriminant analysis (LDA), 0202 electrical engineering, electronic engineering, information engineering, principal component analysis (PCA), Electrical and Electronic Engineering, Sparse matrix, Principal Component Analysis, business.industry, 020208 electrical & electronic engineering, Compressive Sampling, Pattern recognition, Linear discriminant analysis, Support vector machine, compressive sampling (CS), Statistical classification, Compressed sensing, machine condition monitoring (MCM), Control and Systems Engineering, Canonical Correlation Analysis, Principal component analysis, Artificial intelligence, Machine Condition Monitoring, business, Feature learning, Subspace topology

وصف الملف: Print-Electronic

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f99a0256a1ba38290719208f5067d13c
https://doi.org/10.1109/tie.2018.2868259

المؤلفون: Dlair O. Ramadan, Abdulbasit K. Al-Talabani, Zrar Khald Abdul

المصدر: IEEE Sensors Journal. 20:14444-14452

مصطلحات موضوعية: business.industry, Computer science, 010401 analytical chemistry, Feature extraction, Machine condition monitoring, Condition monitoring, Pattern recognition, 01 natural sciences, Cross-validation, Fault detection and isolation, 0104 chemical sciences, Vibration, Cepstrum, Artificial intelligence, Electrical and Electronic Engineering, business, Instrumentation, Classifier (UML)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::27124fa299dd0c69794575fda03fc907
https://doi.org/10.1109/jsen.2020.3007262