Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic

DPNet: domain-aware prototypical network for interdisciplinary few-shot relation classification

(2022) Bo Lv et al.   APPLIED INTELLIGENCE

Few-shot RUL estimation based on model-agnostic meta-learning

(2022) Yu Mo et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An intelligent fault diagnosis model based on deep neural network for few-shot fault diagnosis

(2021) Cunjun Wang et al.   NEUROCOMPUTING

3-D Relation Network for visual relation recognition in videos

(2021) Qianwen Cao et al.   NEUROCOMPUTING

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions

(2021) Duo Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis for Rolling Bearings of a Freight Train under Limited Fault Data: Few-Shot Learning Method

(2021) Chenzhong Li et al.   Journal of Transportation Engineering Part A-Systems

Matching Network Efficiency: The New Old Challenge for Millimeter-Wave Silicon Power Amplifiers

(2021) Mario Lauritano et al.   IEEE MICROWAVE MAGAZINE

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 percussion-based method for multi-bolt looseness detection using one-dimensional memory augmented convolutional long short-term memory networks

(2021) Furui Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data

(2021) Yidan Hu et al.   IEEE Transactions on Industrial Informatics

A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions

(2020) Tianhao Hu et al.   MEASUREMENT

Deep Matching Network for Handwritten Chinese Character Recognition

(2020) Zhiyuan Li et al.   PATTERN RECOGNITION

Generalizing from a Few Examples

(2020) Yaqing Wang et al.   ACM COMPUTING SURVEYS

Secure collaborative few-shot learning

(2020) Yu Xie et al.   KNOWLEDGE-BASED SYSTEMS

Meta Weight Learning via Model-Agnostic Meta-Learning

(2020) Zhixiong Xu et al.   NEUROCOMPUTING

DC-NNMN: Across Components Fault Diagnosis Based on Deep Few-Shot Learning

(2020) Juan Xu et al.   SHOCK AND VIBRATION

Automatic metrics learning with low-noise embedding for zero-shot learning

(2019) Zi-Qian Lu et al.   ELECTRONICS LETTERS

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

Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder

(2019) He Zhiyi et al.   MEASUREMENT

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machine health management in smart factory: A review

(2018) Gil-Yong Lee et al.   Journal of Mechanical Science and Technology

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

Fault diagnosis based on relevance vector machine for fuel regulator of aircraft engine

(2018) Jun Zhou et al.   International Journal of Machine Learning and Cybernetics

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier

(2013) Changqing Shen et al.   MEASUREMENT

Mechanical fault diagnosis based on redundant second generation wavelet packet transform, neighborhood rough set and support vector machine

(2011) Ning Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING