Deep forest based intelligent fault diagnosis of hydraulic turbine

BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data

(2018) Yang Guo et al.   BMC BIOINFORMATICS

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

Fault diagnosis on slipper abrasion of axial piston pump based on Extreme Learning Machine

(2018) Yuan Lan et al.   MEASUREMENT

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) Feng Jia et al.   NEUROCOMPUTING

Misalignment Fault Diagnosis of DFWT Based on IEMD Energy Entropy and PSO-SVM

(2017) Yancai Xiao et al.   Entropy

Deep Learning Based Approach for Bearing Fault Diagnosis

(2017) Miao He et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis

(2017) Muhammad Sohaib et al.   SENSORS

Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimation

(2016) Farzad Hemmati et al.   APPLIED ACOUSTICS

Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings

(2016) Meng Luo et al.   ISA TRANSACTIONS

Fault diagnosis method based on FFT-RPCA-SVM for Cascaded-Multilevel Inverter

(2016) Tianzhen Wang et al.   ISA TRANSACTIONS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

(2016) Chuan Li et al.   SENSORS

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances

(2015) R. Ahila et al.   APPLIED SOFT COMPUTING

Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis

(2015) A. Schwung et al.   FUZZY SETS AND SYSTEMS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A hybrid fault diagnosis method using morphological filter–translation invariant wavelet and improved ensemble empirical mode decomposition

(2015) Lingjie Meng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

(2015) Yoshua Bengio et al.   NEURAL NETWORKS

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition

(2013) Yaguo Lei et al.   SENSORS

Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis

(2012) Peng Li et al.   MEASUREMENT

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings

(2012) Zhiwen Liu et al.   NEUROCOMPUTING

Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)

(2011) P. Konar et al.   APPLIED SOFT COMPUTING

A new feature extraction and selection scheme for hybrid fault diagnosis of gearbox

(2011) Bing Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

Support vector machine with genetic algorithm for machinery fault diagnosis of high voltage circuit breaker

(2011) Jian Huang et al.   MEASUREMENT

A novel intelligent gear fault diagnosis model based on EMD and multi-class TSVM

(2011) Zhongjie Shen et al.   MEASUREMENT

Self adaptive growing neural network classifier for faults detection and diagnosis

(2011) M. Barakat et al.   NEUROCOMPUTING

Rolling element bearing fault diagnosis using wavelet transform

(2011) P.K. Kankar et al.   NEUROCOMPUTING

Application of an intelligent classification method to mechanical fault diagnosis

(2009) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gear crack level identification based on weighted K nearest neighbor classification algorithm

(2009) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks

(2009) Roozbeh Razavi-Far et al.   NEUROCOMPUTING

An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network

(2008) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Nonstationary Motor Fault Detection Using Recent Quadratic Time–Frequency Representations

(2008) Satish Rajagopalan et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

A new approach to intelligent fault diagnosis of rotating machinery

(2007) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

(2007) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

HYDES: A Web-based hydro turbine fault diagnosis system

(2006) Guangxiong Song et al.   EXPERT SYSTEMS WITH APPLICATIONS