Comparing the Effectiveness of Two Convolutional Neural Networks Methods on Fault Diagnosis

2020 ◽

Author(s):

Yijing Xie ◽

Tianlin Niu ◽

Siyu Shao ◽

Yuwei Zhao ◽

Yuemeng Cheng

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Diesel Fuel ◽

Fuel System

Download Full-text

An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems

Building and Environment ◽

10.1016/j.buildenv.2021.108057 ◽

2021 ◽

pp. 108057

Author(s):

Guannan Li ◽

Qing Yao ◽

Cheng Fan ◽

Chunlin Zhou ◽

Guanghai Wu ◽

...

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Air Conditioning ◽

One Dimensional ◽

Diagnosis Method ◽

Air Conditioning Systems

Download Full-text

Coupling fault diagnosis of wind turbine gearbox based on multitask parallel convolutional neural networks with overall information

Renewable Energy ◽

10.1016/j.renene.2021.06.088 ◽

2021 ◽

Author(s):

Sheng Guo ◽

Tao Yang ◽

Haochen Hua ◽

Junwei Cao

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Wind Turbine ◽

Convolutional Neural Networks ◽

Wind Turbine Gearbox ◽

Coupling Fault

Download Full-text

Multiple Sensors Fault Diagnosis for Rolling Bearing Based on Variational Mode Decomposition and Convolutional Neural Networks

2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan) ◽

10.1109/phm-jinan48558.2020.00087 ◽

2020 ◽

Author(s):

Qilin Hou ◽

Jinglin Wang ◽

Yong Shen

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Rolling Bearing ◽

Variational Mode Decomposition ◽

Multiple Sensors ◽

Mode Decomposition

Download Full-text

Bearings Fault Diagnosis Based on Convolutional Neural Networks with 2-D Representation of Vibration Signals as Input

MATEC Web of Conferences ◽

10.1051/matecconf/20179513001 ◽

2017 ◽

Vol 95 ◽

pp. 13001 ◽

Cited By ~ 23

Author(s):

Wei Zhang ◽

Gaoliang Peng ◽

Chuanhao Li

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Vibration Signals

Download Full-text

A Multistage Cutting Tool Fault Diagnosis Algorithm for the Involute form Cutter Using Cutting Force and Vibration Signals Spectrum Imaging and Convolutional Neural Networks

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-05709-1 ◽

2021 ◽

Author(s):

Gurkan Kucukyildiz ◽

Habibe Gursoy Demir

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Cutting Force ◽

Convolutional Neural Networks ◽

Cutting Tool ◽

Vibration Signals ◽

Spectrum Imaging ◽

Diagnosis Algorithm

Download Full-text

Multiple Fault Diagnosis of Electric Powertrains Under Variable Speeds Using Convolutional Neural Networks

2018 XIII International Conference on Electrical Machines (ICEM) ◽

10.1109/icelmach.2018.8507096 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jagath Sri Lal Senanayaka ◽

Huynh Van Khang ◽

Kjell G. Robbersmyr

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Multiple Fault ◽

Multiple Fault Diagnosis ◽

Electric Powertrains

Download Full-text

A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) ◽

10.1109/i2mtc50364.2021.9459990 ◽

2021 ◽

Author(s):

Tianyu Gao ◽

Jingli Yang ◽

Shouda Jiang ◽

Cheng Yang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Analog Circuits ◽

Model Based ◽

Diagnosis Model ◽

Gated Recurrent Unit

Download Full-text

A Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

IEEE Access ◽

10.1109/access.2019.2956052 ◽

2019 ◽

Vol 7 ◽

pp. 171423-171430 ◽

Cited By ~ 2

Author(s):

Qing Liu ◽

Chenxi Huang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Diagnosis Method

Download Full-text

Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-04726-7 ◽

2019 ◽

Vol 106 (5-6) ◽

pp. 1737-1751 ◽

Cited By ~ 6

Author(s):

Abdelraouf Youcef Khodja ◽

Noureddine Guersi ◽

Mohamed Nacer Saadi ◽

Nadir Boutasseta

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Vibration Spectrum ◽

Rotating Machinery ◽

Rolling Element Bearing ◽

Bearing Fault Diagnosis ◽

Rolling Element ◽

Element Bearing ◽

Spectrum Imaging

Download Full-text

Comparing the Effectiveness of Two Convolutional Neural Networks Methods on Fault Diagnosis

Attention-based Convolutional Neural Networks for Diesel Fuel System Fault Diagnosis

An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems

Coupling fault diagnosis of wind turbine gearbox based on multitask parallel convolutional neural networks with overall information

Multiple Sensors Fault Diagnosis for Rolling Bearing Based on Variational Mode Decomposition and Convolutional Neural Networks

Bearings Fault Diagnosis Based on Convolutional Neural Networks with 2-D Representation of Vibration Signals as Input

A Multistage Cutting Tool Fault Diagnosis Algorithm for the Involute form Cutter Using Cutting Force and Vibration Signals Spectrum Imaging and Convolutional Neural Networks

Multiple Fault Diagnosis of Electric Powertrains Under Variable Speeds Using Convolutional Neural Networks

A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits

A Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks

Export Citation Format