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A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process
Huda, Shamsul; Abdollahian, Malihe Akhavan; Mammadov, Musa - In: European journal of operational research : EJOR 237 (2014) 3, pp. 857-870
Persistent link: https://www.econbiz.de/10010384683
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A Bayesian network approach for fixture fault diagnosis in launch of the assembly process
Jin, Sun; Liu, Yunhua; Zhongqin, Lin - In: International journal of production research 50 (2012) 23, pp. 6655-6666
Persistent link: https://www.econbiz.de/10009673529
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A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions
Wang, Zheng; Liu, Qingxiu; Chen, Hansi; Chu, Xuening - In: International journal of production research 59 (2021) 16, pp. 4811-4825
Persistent link: https://www.econbiz.de/10012625725
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Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors : state of the art survey
Drakaki, Maria; Karnavas, Yannis L.; Tziafettas, Ioannis A. - In: Journal of industrial engineering and management : JIEM 15 (2022) 1, pp. 31-57
Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...
Persistent link: https://www.econbiz.de/10012815091
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Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder
Zhang, Chengyi; Yu, Jianbo; Wang, Shijin - In: International journal of production research 59 (2021) 8, pp. 2426-2449
Persistent link: https://www.econbiz.de/10012501291
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Fault diagnosis and prioritisation in sugar industry : a fuzzy-AHP approach
Khorramrouz, Fatemeh; Masoud Rahiminezhad Galankashi - In: International journal of value chain management : IJVCM 10 (2019) 3, pp. 181-195
Persistent link: https://www.econbiz.de/10012106658
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Diagnosis of stator shorted-turn faults in induction machines using discrete wavelet transform
Imoru, Odun Ayo; Bhaskar, M. Arun; Jimoh, Adisa Abdul-Ganiyu - In: African journal of science, technology, innovation & … 9 (2017) 3, pp. 349-355
Persistent link: https://www.econbiz.de/10012008940
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Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Wang, Jinjiang; Ye, Lunkuan; Gao, Robert X.; Li, Chen; … - In: International journal of production research 57 (2019) 12, pp. 3920-3934
Persistent link: https://www.econbiz.de/10012193393
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Unified process monitoring strategy for a facility engaged in the production of multiple portfolio of products
Suman, Swarnambuj; Das, Anupam - In: International journal of productivity and quality … 29 (2020) 2, pp. 233-249
Persistent link: https://www.econbiz.de/10012200386
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A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Ong, Pauline; John Koshy, Anelka; Lai Kee Huong; Chee … - In: Decision analytics journal 10 (2024), pp. 1-9
Gearbox failures can lead to substantial damage, significant financial losses due to maintenance downtimes, and, in some instances, fatalities. This study introduces an intelligent gear fault diagnosis system employing a convolutional neural network (CNN), utilizing vibration and thermal...
Persistent link: https://www.econbiz.de/10014541844