Neural Network Diagnostics
Neural Network Diagnostics is a computational framework within engine diagnostics that employs machine learning models to identify, analyze, and interpret anomalies or faults in engine performance by leveraging the pattern recognition capabilities of artificial neural networks.
820
Publications
44.2K
Citations
2.5K
Authors
798
Institutions
Publications per year
2017–2026
350
Parents
820
Artificial neural networks in medical diagnosis
Filippo Amato, Alberto Botana López, Eladia María Peña‐Méndez et al. · Journal of Applied Biomedicine · 2013 · 905 citations · Full text
Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders
Han Liu, Jianzhong Zhou, Yang Zheng et al. · ISA Transactions · 2018 · 594 citations
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798
Tsinghua University
Beijing, China
13 h-index
27 publications
4.1K citations

Xi'an Jiaotong University
Xi'an, China
13 h-index
40 publications
3.1K citations

Shanghai Jiao Tong University
Shanghai, China
12 h-index
42 publications
3.6K citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
12 h-index
34 publications
1.6K citations

Huazhong University of Science and Technology
Wuhan, China
12 h-index
49 publications
5.5K citations

North China Electric Power University
Beijing, China
10 h-index
27 publications
1.5K citations

Beihang University
Beijing, China
10 h-index
20 publications
1.1K citations

Hunan University
Changsha, China
9 h-index
27 publications
4.1K citations
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18 publications · 2K citations
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20 publications · 1.6K citations
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19 publications · 1.6K citations
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14 publications · 511 citations
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MSSP · 12 publications · 2.2K citations
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