Standout Papers
- Applications of machine learning to machine fault diagnosis: A review and roadmap (2020)
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction (2017)
- A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings (2018)
- Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data (2018)
- A recurrent neural network based health indicator for remaining useful life prediction of bearings (2017)
- An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings (2015)
- A Model-Based Method for Remaining Useful Life Prediction of Machinery (2016)
- Deep separable convolutional network for remaining useful life prediction of machinery (2019)
- Applications of stochastic resonance to machinery fault detection: A review and tutorial (2019)
- Machinery health indicator construction based on convolutional neural networks considering trend burr (2018)
- Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery (2019)
- Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings (2021)
- Intelligent Machinery Fault Diagnosis With Event-Based Camera (2023)
- Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment (2024)
Immediate Impact
70 standout
Citing Papers
Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions
2025 Standout
Toward an AI Era: Advances in Electronic Skins
2024 Standout
Works of Naipeng Li being referenced
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
2023
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Naipeng Li | 8648 | 5177 | 2290 | 2547 | 76 | 11.0k | |
| Liang Guo | 4532 | 3011 | 1119 | 1403 | 120 | 6.4k | |
| Feng Jia | 5775 | 3520 | 475 | 2079 | 39 | 7.3k | |
| Haidong Shao | 7283 | 4293 | 327 | 2484 | 118 | 9.0k | |
| Chuang Sun | 4670 | 2596 | 459 | 1343 | 109 | 6.4k | |
| Baoping Tang | 5093 | 3196 | 420 | 1616 | 198 | 7.0k | |
| Yaguo Lei | 17965 | 12172 | 2995 | 5827 | 186 | 23.4k | |
| Jing Lin | 12366 | 11076 | 1583 | 4960 | 270 | 19.0k | |
| Baoping Cai | 3089 | 2614 | 1075 | 1268 | 225 | 7.8k | |
| Steven X. Ding | 19314 | 5392 | 985 | 1107 | 383 | 22.3k | |
| Yanyang Zi | 6382 | 4625 | 343 | 2314 | 163 | 8.3k |
All Works
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