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Reliability Engineering & System Safety2024引用: 384
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework论文
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Deep discriminative transfer learning network for cross-machine fault diagnosis论文
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An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery论文
Padua Research Archive (University of Padova)2022引用: 315
Fusing physics-based and deep learning models for prognostics论文
Repository for Publications and Research Data (ETH Zurich)2022引用: 339
A review on the application of blind deconvolution in machinery fault diagnosis论文
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Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines论文
IEEE Transactions on Energy Conversion2021引用: 217
A survey on anomaly detection for technical systems using LSTM networks论文
Computers in Industry2021引 用: 415
Vibration-based anomaly detection using LSTM/SVM approaches论文
Mechanical Systems and Signal Processing2021引用: 219
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems论文
Artificial Intelligence Review2021引用: 361
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions论文
Mechanical Systems and Signal Processing2021引用: 220
Dynamic Mode Decomposition and Its Variants论文
Annual Review of Fluid Mechanics2021引用: 582
Deep transfer learning with limited data for machinery fault diagnosis论文
Applied Soft Computing2021引用: 251
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions论文
IEEE Transactions on Instrumentation and Measurement2021引用: 272
Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions论文
ISA Transactions2021引用: 529
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects论文
Knowledge-Based Systems2021引用: 242
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study论文
IEEE Transactions on Instrumentation and Measurement2021引用: 497
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings论文
Mechanical Systems and Signal Processing2020引用: 290
A Fast Abnormal Data Cleaning Algorithm for Performance Evaluation of Wind Turbine论文
IEEE Transactions on Instrumentation and Measurement2020引用: 229
Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis论文
IEEE Transactions on Industrial Electronics2020引用: 357
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