An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis

Dempster-Shafer evidence theory for multi-bearing faults diagnosis

(2017) Kar Hoou Hui et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2016) Xiaojie Guo et al.   MEASUREMENT

Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary

(2016) Lingli Cui 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

The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

(2016) Yibing Li et al.   Journal of Sensors

Automatic gear and bearing fault localization using vibration and acoustic signals

(2015) D.P. Jena et al.   APPLIED ACOUSTICS

Early fault detection in gearboxes based on support vector machines and multilayer perceptron with a continuous wavelet transform

(2015) Łukasz Jedliński et al.   APPLIED SOFT COMPUTING

Target Recognition via Information Aggregation Through Dempster–Shafer's Evidence Theory

(2015) Ganggang Dong et al.   IEEE Geoscience and Remote Sensing Letters

Thermal image based fault diagnosis for rotating machinery

(2015) Olivier Janssens et al.   INFRARED PHYSICS & TECHNOLOGY

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

Support vector machine with parameter optimization by a novel hybrid method and its application to fault diagnosis

(2015) Xiaoyuan Zhang et al.   NEUROCOMPUTING

A 3D model recognition mechanism based on deep Boltzmann machines

(2015) Biao Leng et al.   NEUROCOMPUTING

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

Vibration diagnostics of rolling bearings by novel nonlinear non-stationary wavelet bicoherence technology

(2014) L. Gelman et al.   ENGINEERING STRUCTURES

An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks

(2014) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of D-S Evidence Fusion Method in the Fault Detection of Temperature Sensor

(2014) Zheng Dou et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A sparse-response deep belief network based on rate distortion theory

(2014) Nan-Nan Ji et al.   PATTERN RECOGNITION

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

(2013) D.H. Pandya et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new method for expert target recognition system: Genetic wavelet extreme learning machine (GAWELM)

(2013) Engin Avci   EXPERT SYSTEMS WITH APPLICATIONS

Integrating textual analysis and evidential reasoning for decision making in Engineering design

(2013) Fiona Browne et al.   KNOWLEDGE-BASED SYSTEMS

A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform

(2013) Jiesi Luo et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Adaptive redundant multiwavelet denoising with improved neighboring coefficients for gearbox fault detection

(2013) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform

(2013) P.K. Kankar et al.   NEUROCOMPUTING

Automatic bearing fault diagnosis based on one-class ν-SVM

(2012) Diego Fernández-Francos et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Application and comparison of an ANN-based feature selection method and the genetic algorithm in gearbox fault diagnosis

(2011) A. Hajnayeb et al.   EXPERT SYSTEMS WITH APPLICATIONS