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

Fault Diagnosis ◽

Vibration Signals ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Artificial Neural Network Through Energy Value of Empirical Mode Decomposition Feature Extraction based: Application on Bearing Fault Diagnosis

2019 International Electronics Symposium (IES) ◽

10.1109/elecsym.2019.8901529 ◽

2019 ◽

Author(s):

Bima Priambodo Wahyu Rianto ◽

Endah Suryawati Ningrum ◽

Zaqiatud Darojah ◽

Hendhi Hermawan

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Fault Diagnosis ◽

Energy Value ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

2015 8th International Symposium on Computational Intelligence and Design (ISCID) ◽

Bearing Fault Diagnosis Based on Empirical Mode Decomposition and Neural Network

10.1109/iscid.2015.87 ◽

2015 ◽

Author(s):

Jiye Shao ◽

Jie Li ◽

Jiajun Ma

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

Vibration-based fault diagnosis of a face milling tool using empirical mode decomposition features and artificial neural network

International Journal of Condition Monitoring ◽

10.1784/204764219826793802 ◽

2019 ◽

Vol 9 (2) ◽

pp. 25-34

Author(s):

C K Madhusudana ◽

H Kumar ◽

S Narendranath

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Face Milling ◽

Mode Decomposition ◽

Milling Tool ◽

Artificial neural network and empirical mode decomposition based imbalance fault diagnosis of wind turbine using TurbSim, FAST and Simulink

IET Renewable Power Generation ◽

10.1049/iet-rpg.2015.0382 ◽

2016 ◽

Vol 11 (6) ◽

pp. 889-902 ◽

Cited By ~ 47

Author(s):

Hasmat Malik ◽

Sukumar Mishra

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Wind Turbine ◽

Mode Decomposition ◽

Practical Investigation on Bearing Fault Diagnosis Using Massive Vibration Data and Artificial Neural Network

Big Data and Networks Technologies - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-23672-4_9 ◽

2019 ◽

pp. 110-116

Author(s):

Tarek Khoualdia ◽

Abdelaziz Lakehal ◽

Zoubir Chelli

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Bearing Fault ◽

Vibration Data ◽

Bearing Fault Diagnosis ◽

Artificial Neural ◽

Practical Investigation

A hybrid artificial neural network with Dempster-Shafer theory for automated bearing fault diagnosis

Journal of Vibroengineering ◽

10.21595/jve.2016.17024 ◽

2016 ◽

Vol 18 (7) ◽

pp. 4409-4418 ◽

Cited By ~ 8

Author(s):

Kar Hoou Hui ◽

Ching Sheng Ooi ◽

Meng Hee Lim ◽

Mohd Salman Leong

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Dempster Shafer Theory ◽

Artificial Neural ◽

Shafer Theory ◽

Hybrid Artificial Neural Network

Bearing Fault Diagnosis Using Motor Current Signature Analysis and the Artificial Neural Network

International Journal on Advanced Science Engineering and Information Technology ◽

10.18517/ijaseit.10.1.10629 ◽

2020 ◽

Vol 10 (1) ◽

pp. 70

Author(s):

Thoalfaqqar Ali Dhomad ◽

Alaa Abdulhady Jaber

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Signature Analysis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Motor Current ◽

Motor Current Signature Analysis ◽

Artificial Neural ◽

Current Signature

2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) ◽

Bearing fault diagnosis using discrete Wavelet Transform and Artificial Neural Network

10.1109/icatcct.2016.7912031 ◽

2016 ◽

Cited By ~ 3

Author(s):

Aditi B. Patil ◽

Jitendra A. Gaikwad ◽

Jayant V. Kulkarni

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Fault Diagnosis ◽

Discrete Wavelet Transform ◽

Discrete Wavelet ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Development of EBP-Artificial neural network expert system for rolling element bearing fault diagnosis

Journal of Vibration and Control ◽

10.1177/1077546310361858 ◽

2010 ◽

Vol 17 (8) ◽

pp. 1131-1148 ◽

Cited By ~ 72

Author(s):

Pratesh Jayaswal ◽

SN Verma ◽

AK Wadhwani

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Expert System ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Rolling Element ◽

Element Bearing ◽

2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP) ◽

Application of new training method combined with feedforward artificial neural network for rolling bearing fault diagnosis

10.1109/m2vip.2016.7827265 ◽

2016 ◽

Cited By ~ 2

Author(s):

Suyi Qian ◽

Xiaoqiang Yang ◽

Jie Huang ◽

Haitao Zhang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Training Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽