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Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
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Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review

Saufi, Syahril Ramadhan ; Ahmad, Zair Asrar Bin ; Leong, Mohd Salman ; Lim, Meng Hee

IEEE access, 2019, Vol.7, p.122644-122662 [Periódico revisado por pares]

Piscataway: IEEE

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2
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review
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Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review

Neupane, Dhiraj ; Seok, Jongwon

IEEE access, 2020, Vol.8, p.93155-93178 [Periódico revisado por pares]

Piscataway: IEEE

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3
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning
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Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning

Chen, Hongtian ; Chai, Zheng ; Dogru, Oguzhan ; Jiang, Bin ; Huang, Biao

IEEE transaction on neural networks and learning systems, 2022-10, Vol.33 (10), p.5694-5705

United States: IEEE

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4
Insulator Fault Detection in Aerial Images Based on Ensemble Learning With Multi-Level Perception
Insulator Fault Detection in Aerial Images Based on Ensemble Learning With Multi-Level Perception
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Insulator Fault Detection in Aerial Images Based on Ensemble Learning With Multi-Level Perception

Jiang, Hao ; Qiu, Xiaojie ; Chen, Jing ; Liu, Xinyu ; Miao, Xiren ; Zhuang, Shengbin

IEEE access, 2019, Vol.7, p.61797-61810 [Periódico revisado por pares]

Piscataway: IEEE

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5
Data-Based Output Synchronization of Multi-Agent Systems With Actuator Faults
Data-Based Output Synchronization of Multi-Agent Systems With Actuator Faults
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Data-Based Output Synchronization of Multi-Agent Systems With Actuator Faults

Liu, Yingying ; Wang, Zhanshan ; Wang, Yuan

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.11013-11020

United States: IEEE

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6
A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
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A review of data-driven fault detection and diagnosis methods: applications in chemical process systems

Md Nor, Norazwan ; Che Hassan, Che Rosmani ; Hussain, Mohd Azlan

Reviews in chemical engineering, 2020-05, Vol.36 (4), p.513-553 [Periódico revisado por pares]

Berlin: De Gruyter

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7
Fault Management in DC Microgrids: A Review of Challenges, Countermeasures, and Future Research Trends
Fault Management in DC Microgrids: A Review of Challenges, Countermeasures, and Future Research Trends
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Fault Management in DC Microgrids: A Review of Challenges, Countermeasures, and Future Research Trends

Ali, Zulfiqar ; Terriche, Yacine ; Hoang, Le Quang Nhat ; Abbas, Syed Zagam ; Hassan, Mustafa Alrayah ; Sadiq, Muhammad ; Su, Chun-Lien ; Guerrero, Josep M.

IEEE access, 2021, Vol.9, p.128032-128054 [Periódico revisado por pares]

Piscataway: IEEE

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8
A robust neural network model for fault detection in the presence of mislabelled data
A robust neural network model for fault detection in the presence of mislabelled data
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A robust neural network model for fault detection in the presence of mislabelled data

Alauddin, Mohammad ; Khan, Faisal ; Imtiaz, Syed ; Ahmed, Salim ; Amyotte, Paul

Canadian journal of chemical engineering, 2024-04, Vol.102 (4), p.1368-1380 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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9
Series DC Arc Fault Detection Using Machine Learning Algorithms
Series DC Arc Fault Detection Using Machine Learning Algorithms
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Series DC Arc Fault Detection Using Machine Learning Algorithms

Dang, Hoang-Long ; Kim, Jaechang ; Kwak, Sangshin ; Choi, Seungdeog

IEEE access, 2021, Vol.9, p.133346-133364 [Periódico revisado por pares]

Piscataway: IEEE

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10
A Hybrid Design of Fault Detection for Nonlinear Systems Based on Dynamic Optimization
A Hybrid Design of Fault Detection for Nonlinear Systems Based on Dynamic Optimization
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A Hybrid Design of Fault Detection for Nonlinear Systems Based on Dynamic Optimization

Ran, Guangtao ; Chen, Hongtian ; Li, Chuanjiang ; Ma, Guangfu ; Jiang, Bin

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.5244-5254

United States: IEEE

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