A novel sparse filtering approach based on time-frequency feature extraction and softmax regression for intelligent fault diagnosis under different speeds

A nonlinear component mode synthesis method for the computation of steady-state vibrations in non-conservative systems

(2017) Colas Joannin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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 defect detection using the generalized synchrosqueezing transform guided by time–frequency ridge enhancement

(2016) Chuan Li et al.   ISA TRANSACTIONS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

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

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

(2016) Xiaojie Guo et al.   MEASUREMENT

A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree

(2016) Yongbo Li et al.   MEASUREMENT

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

(2016) Chuan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Text classification based on deep belief network and softmax regression

(2016) Mingyang Jiang et al.   NEURAL COMPUTING & APPLICATIONS

Real-time road traffic states estimation based on kernel-KNN matching of road traffic spatial characteristics

(2016) Dong-wei Xu et al.   Journal of Central South University

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

(2015) Chuan Li et al.   NEUROCOMPUTING

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding

(2015) Xiang Wang et al.   SENSORS

Fault Diagnosis in Internal Combustion Engines Using Extension Neural Network

(2013) Yousef Shatnawi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Unsupervised Hierarchical Feature Learning Framework for One-Shot Image Recognition

(2013) Zhenyu Guo et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

(2013) Chenping Hou et al.   IEEE Transactions on Cybernetics

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks

(2012) Miguel Delgado Prieto et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A future possibility of vibration based condition monitoring of rotating machines

(2012) Jyoti K. Sinha et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Natural computing for mechanical systems research: A tutorial overview

(2010) Keith Worden et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING