Hybrid condition monitoring of nonlinear mechatronic system using biogeography-based optimization particle filter and optimized extreme learning machine

Condition Monitoring ◽

Mechatronic System ◽

Condition monitoring and life prediction of the turning tool based on extreme learning machine and transfer learning

Neural Computing and Applications ◽

10.1007/s00521-021-05716-1 ◽

2021 ◽

Author(s):

Zhan Gao ◽

Qiguo Hu ◽

Xiangyang Xu

Keyword(s):

Transfer Learning ◽

Condition Monitoring ◽

Life Prediction ◽

A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling

Measurement ◽

10.1016/j.measurement.2020.108186 ◽

2020 ◽

Vol 166 ◽

pp. 108186 ◽

Cited By ~ 1

Author(s):

Yuqing Zhou ◽

Bintao Sun ◽

Weifang Sun

Keyword(s):

Differential Evolution ◽

Condition Monitoring ◽

Tool Condition Monitoring ◽

Monitoring Method ◽

Tool Condition ◽

Kernel Extreme Learning Machine ◽

Binary Differential Evolution ◽

Condition monitoring of wind turbines based on extreme learning machine

2015 21st International Conference on Automation and Computing (ICAC) ◽

10.1109/iconac.2015.7313974 ◽

2015 ◽

Cited By ~ 2

Author(s):

Peng Qian ◽

Xiandong Ma ◽

Yifei Wang

Keyword(s):

Condition Monitoring ◽

Wind Turbines ◽

Virtual sensing for gearbox condition monitoring based on extreme learning machine

Journal of Vibroengineering ◽

10.21595/jve.2016.17379 ◽

2017 ◽

Vol 19 (2) ◽

pp. 1000-1013 ◽

Cited By ~ 1

Author(s):

Jinjiang Wang ◽

Yinghao Zheng ◽

Lixiang Duan ◽

Junyao Xie ◽

Laibin Zhang

Keyword(s):

Condition Monitoring ◽

Virtual Sensing ◽

Extreme Learning Machine Based Intelligent Condition Monitoring System on Train Door

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM 2018 ◽

10.1007/978-3-030-23307-5_11 ◽

2019 ◽

pp. 98-107

Author(s):

Xin Sun ◽

K. V. Ling ◽

K. K. Sin ◽

Lawrence Tay

Keyword(s):

Monitoring System ◽

Condition Monitoring ◽

Condition Monitoring System ◽

Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process

Journal of Intelligent Manufacturing ◽

10.1007/s10845-020-01663-1 ◽

2020 ◽

Author(s):

Yuqing Zhou ◽

Bintao Sun ◽

Weifang Sun ◽

Zhi Lei

Keyword(s):

Tool Wear ◽

Condition Monitoring ◽

Milling Process ◽

Kernel Extreme Learning Machine ◽

Learning Machine ◽

Wear Condition

A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2018.05.013 ◽

2018 ◽

Vol 260 ◽

pp. 9-19 ◽

Cited By ~ 15

Author(s):

Xiaoqiang Zhang ◽

Huabin Chen ◽

Jijin Xu ◽

Xuefeng Song ◽

Junwei Wang ◽

...

Keyword(s):

Condition Monitoring ◽

Monitoring Method ◽

Robotic Grinding ◽

Unbalanced Radial Distribution Systems Voltage Stability Index Using Extreme Learning Machine

International Review of Electrical Engineering (IREE) ◽

10.15866/iree.v11i4.8916 ◽

2016 ◽

Vol 11 (4) ◽

pp. 428

Author(s):

Dimas Fajar Uman Putra ◽

Ontoseno Penangsang ◽

Adi Soeprijanto ◽

Hajime Miyauchi

Keyword(s):

Radial Distribution ◽

Distribution Systems ◽

Voltage Stability ◽

Stability Index ◽

Voltage Stability Index ◽

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) ◽

Steering System of Electric Vehicle using Extreme Learning Machine

10.23919/eecsi50503.2020.9251889 ◽

2020 ◽

Author(s):

Sofyan Ahmadi ◽

Khairul Anam ◽

Azmi Saleh

Keyword(s):

Electric Vehicle ◽

Steering System ◽

Performance of Extreme Learning Machine Kernels in Classifying EEG Signal Pattern of Dyslexic Children in Writing

International Journal of Integrated Engineering ◽

10.30880/ijie.2019.11.03.014 ◽

2019 ◽

Vol 11 (3) ◽

Cited By ~ 1

Author(s):

A. Z. Ahmad Zainuddin ◽

◽

W. Mansor ◽

Khuan Y. Lee ◽

Z. Mahmoodin ◽

...

Keyword(s):

Eeg Signal ◽

Signal Pattern ◽