Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals

Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis

(2023) Chuanjiang Li et al.   KNOWLEDGE-BASED SYSTEMS

Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis

(2023) Geonkyo Hong et al.   EXPERT SYSTEMS WITH APPLICATIONS

A zero-shot fault semantics learning model for compound fault diagnosis

(2023) Juan Xu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions

(2022) Xuegang Li et al.   KNOWLEDGE-BASED SYSTEMS

End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets

(2022) Songyu Han et al.   BUILDING AND ENVIRONMENT

A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions

(2022) Hao Su et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis in wind turbines based on ANFIS and Takagi–Sugeno interval observers

(2022) Esvan-Jesús Pérez-Pérez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier

(2022) Saeed Rajabi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples

(2022) Jian Lin et al.   KNOWLEDGE-BASED SYSTEMS

Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions

(2022) Yiyao An et al.   EXPERT SYSTEMS WITH APPLICATIONS

Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain

(2022) Yiming Xiao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Identification of unknown faults in chemical processes using few-shot learning

(2022) Somayeh Mirzaei et al.   MEASUREMENT

Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises

(2022) Shen Yan et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

(2021) Yu Wang et al.   SENSORS

Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis

(2021) Yong Feng et al.   ISA TRANSACTIONS

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics

(2021) Peng Ding et al.   APPLIED SOFT COMPUTING

Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects

(2021) Yong Feng et al.   KNOWLEDGE-BASED SYSTEMS

A novel method for diagnosing bearing transfer faults based on a maximum mean discrepancies guided domain-adversarial mechanism

(2021) Meixia Jia et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels

(2021) Kai Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Few-shot transfer learning for intelligent fault diagnosis of machine

(2020) Jingyao Wu et al.   MEASUREMENT

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

(2019) Xiang Li et al.   IEEE Transactions on Industrial Informatics

Fault diagnosis method based on integration of RSSD and wavelet transform to rolling bearing

(2018) Chen Baojia et al.   MEASUREMENT

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS