Few-shot transfer learning for intelligent fault diagnosis of machine

A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery

(2020) Xiaoli Zhao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

(2020) Zhibin Zhao et al.   ISA TRANSACTIONS

Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis

(2019) Xiaoxi Ding et al.   MEASUREMENT

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

(2019) Zhuyun Chen et al.   IEEE Transactions on Industrial Informatics

An adaptive deep transfer learning method for bearing fault diagnosis

(2019) Zhenghong Wu et al.   MEASUREMENT

A meta-learning approach for selecting image segmentation algorithm

(2019) Gabriel Jonas Aguiar et al.   PATTERN RECOGNITION LETTERS

A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis

(2018) Guangzheng Hu et al.   COMPUTERS IN INDUSTRY

Step-by-step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory

(2018) Liuyang Song et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

A new l 0 -norm embedded MED method for roller element bearing fault diagnosis at early stage of damage

(2018) Xingxing Jiang et al.   MEASUREMENT

Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis

(2018) Yongzhuo Li et al.   MEASUREMENT

Few-shot decision tree for diagnosis of ultrasound breast tumor using BI-RADS features

(2018) Qinghua Huang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis

(2018) Yuanhang Chen et al.   NEUROCOMPUTING

A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

(2018) Lingli Cui et al.   MEASUREMENT

HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault

(2018) Lingli Cui et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

(2017) Ivan Olier et al.   MACHINE LEARNING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

(2013) Yassine Amirat et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring

(2008) M. Blodt et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An advanced Park's vectors approach for bearing fault detection

(2008) Jafar Zarei et al.   TRIBOLOGY INTERNATIONAL