4.6 Article

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

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Dempster-Shafer evidence theory for multi-bearing faults diagnosis

Kar Hoou Hui et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Article Automation & Control Systems

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

Turker Ince et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)

Article Engineering, Mechanical

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

Lingli Cui et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Article Engineering, Electrical & Electronic

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

Yibing Li et al.

JOURNAL OF SENSORS (2016)

Article Computer Science, Artificial Intelligence

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

Lukasz Jedlinski et al.

APPLIED SOFT COMPUTING (2015)

Article Geochemistry & Geophysics

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

Ganggang Dong et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)

Article Instruments & Instrumentation

Thermal image based fault diagnosis for rotating machinery

Olivier Janssens et al.

INFRARED PHYSICS & TECHNOLOGY (2015)

Review Engineering, Mechanical

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

Wade A. Smith et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)

Article Computer Science, Artificial Intelligence

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

Xiaoyuan Zhang et al.

NEUROCOMPUTING (2015)

Article Computer Science, Artificial Intelligence

A 3D model recognition mechanism based on deep Boltzmann machines

Biao Leng et al.

NEUROCOMPUTING (2015)

Article Computer Science, Artificial Intelligence

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

Van Tung Tran et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Article Engineering, Multidisciplinary

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

Zheng Dou et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

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

Nan-Nan Ji et al.

PATTERN RECOGNITION (2014)

Article Computer Science, Interdisciplinary Applications

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

Diego Fernandez-Francos et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2013)

Article Computer Science, Artificial Intelligence

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

D. H. Pandya et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Computer Science, Artificial Intelligence

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

Engin Avci

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Computer Science, Artificial Intelligence

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

Fiona Browne et al.

KNOWLEDGE-BASED SYSTEMS (2013)

Article Engineering, Multidisciplinary

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

Jiesi Luo et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2013)

Article Engineering, Mechanical

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

Jinglong Chen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)

Article Computer Science, Artificial Intelligence

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

P. K. Kankar et al.

NEUROCOMPUTING (2013)

Article Computer Science, Artificial Intelligence

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

A. Hajnayeb et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Proceedings Paper Engineering, Electrical & Electronic

Application of Vibration and Noise Analysis in Water-Lubricated Rubber Bearings Fault Diagnosis

Engao Peng et al.

MECHATRONICS AND MATERIALS PROCESSING I, PTS 1-3 (2011)

Article Computer Science, Artificial Intelligence

Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors

Achmad Widodo et al.

EXPERT SYSTEMS WITH APPLICATIONS (2007)

Article Computer Science, Theory & Methods

A comparative study of three artificial neural networks for the detection and classification of gear faults

IA Abu-Mahfouz

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS (2005)

Article Physics, Multidisciplinary

Model of MT and MST areas using an autoencoder

K Katayama et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2003)

Article Computer Science, Interdisciplinary Applications

Multivariate process monitoring and fault diagnosis by multi-scale PCA

M Misra et al.

COMPUTERS & CHEMICAL ENGINEERING (2002)

Article Computer Science, Artificial Intelligence

Combining belief functions when evidence conflicts

CK Murphy

DECISION SUPPORT SYSTEMS (2000)