Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions

Fault diagnosis of reciprocating compressor using a novel ensemble empirical mode decomposition-convolutional deep belief network

(2020) Ying Zhang et al.   MEASUREMENT

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis with Unlabeled or Insufficient Labeled Data

(2020) Cheng Cheng et al.   NEUROCOMPUTING

Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm

(2020) Xiuwen Fu et al.   Computer Networks

New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller

(2020) Tao Wu et al.   INFORMATION SCIENCES

Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery

(2020) Xiang Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions

(2019) Weiwei Qian et al.   MEASUREMENT

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty

(2019) Xin Gao et al.   NEUROCOMPUTING

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

(2019) Zongzhen Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine

(2019) Ke Li et al.   NEUROCOMPUTING

Multi-fault Condition Monitoring of Slurry pump with Principle Component Analysis and Sequential Hypothesis Test

(2019) Hanxin Chen et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method

(2019) Zenghui An et al.   NEUROCOMPUTING

A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network

(2019) Zenghui An et al.   ISA TRANSACTIONS

MRS-kNN fault detection method for multirate sampling process based variable grouping threshold

(2019) Jian Feng et al.   JOURNAL OF PROCESS CONTROL

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

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

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

Deep Boltzmann machine based condition prediction for smart manufacturing

(2018) Jinjiang Wang et al.   Journal of Ambient Intelligence and Humanized Computing

Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine

(2018) Hongshan ZHAO et al.   Journal of Modern Power Systems and Clean Energy

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines

(2018) Jinrui Wang et al.   NEUROCOMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS