A minimum entropy deconvolution-enhanced convolutional neural networks for fault diagnosis of axial piston pumps

Soft Computing ◽

10.1007/s00500-019-04076-2 ◽

2019 ◽

Vol 24 (4) ◽

pp. 2983-2997 ◽

Author(s):

Shuhui Wang ◽

Jiawei Xiang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Minimum Entropy ◽

Axial Piston Pumps ◽

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Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals

Alexandria Engineering Journal ◽

10.1016/j.aej.2020.07.052 ◽

2020 ◽

Vol 59 (6) ◽

pp. 4463-4473

Author(s):

Qun Chao ◽

Jianfeng Tao ◽

Xiaoliang Wei ◽

Yuanhang Wang ◽

Linghui Meng ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Vibration Signals ◽

Axial Piston Pumps ◽

Cavitation Intensity ◽

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

2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls49620.2020.9275096 ◽

2020 ◽

Author(s):

Yinping Liu ◽

Junmin Li

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks

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

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) ◽

10.1109/icsmd50554.2020.9261700 ◽

2020 ◽

Author(s):

Yijing Xie ◽

Tianlin Niu ◽

Siyu Shao ◽

Yuwei Zhao ◽

Yuemeng Cheng

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Diesel Fuel ◽

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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

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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 ◽

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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

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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 ◽

Author(s):

Wei Zhang ◽

Gaoliang Peng ◽

Chuanhao Li

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Vibration Signals

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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

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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 ◽

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

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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

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