Gear Fault Diagnosis through Vibration and Acoustic Signal Combination Based on Convolutional Neural Network

Gear Fault Diagnosis through Vibration and Acoustic Signal Combination Based on Convolutional Neural Network

Equipment condition monitoring and diagnosis is an important means to detect and eliminate mechanical faults in real time, thereby ensuring safe and reliable operation of equipment. This traditional method uses contact measurement vibration signals to perform fault diagnosis. However, a special envi...

Full description

Bibliographic Details
Main Authors:	Liya Yu, Xuemei Yao, Jing Yang, Chuanjiang Li
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Information
Subjects:	vibration signal acoustic signal fault diagnosis convolutional neural network data fusion
Online Access:	https://www.mdpi.com/2078-2489/11/5/266

Similar Items

INTELLIGENT FAULT DIAGNOSIS OF SYNCHROMESH GEARBOX USING FUSION OF VIBRATION AND ACOUSTIC EMISSION SIGNALS FOR PERFORMANCE ENHANCEMENT
by: T Praveenkumar, et al.
Published: (2019-06-01)

Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals
by: Xueyi Li, et al.
Published: (2019-02-01)

Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network
by: Jin Yan, et al.
Published: (2023-11-01)

Research on fault diagnosis of time-domain vibration signal based on convolutional neural networks
by: Mingyong Li, et al.
Published: (2019-12-01)

End-To-End Convolutional Neural Network Model for Gear Fault Diagnosis Based on Sound Signals
by: Yong Yao, et al.
Published: (2018-09-01)

Accurate Bearing Fault Diagnosis under Variable Shaft Speed using Convolutional Neural Networks and Vibration Spectrogram
by: Minh Tuan Pham, et al.
Published: (2020-09-01)

Fusion Method and Application of Several Source Vibration Fault Signal Spatio-Temporal Multi-Correlation
by: Longhuan Cheng, et al.
Published: (2021-05-01)

Multi-Stream Convolutional Neural Networks for Rotating Machinery Fault Diagnosis under Noise and Trend Items
by: Han Dong, et al.
Published: (2022-04-01)

Multi‐attribute quantitative bearing fault diagnosis based on convolutional neural network
by: Shixin Zhang, et al.
Published: (2021-12-01)

Acoustic Vibration Approach for Detecting Faults in Hydroelectric Units: A Review
by: Fang Dao, et al.
Published: (2021-11-01)

Convolutional Neural Network Based on Spiral Arrangement of Features and Its Application in Bearing Fault Diagnosis
by: Fengtao Wang, et al.
Published: (2019-01-01)

Bearing Fault Diagnosis Using a Vector-Based Convolutional Fuzzy Neural Network
by: Cheng-Jian Lin, et al.
Published: (2023-03-01)

Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network
by: Wasim Zaman, et al.
Published: (2024-01-01)

Frame Structure Fault Diagnosis Based on a High-Precision Convolution Neural Network
by: Yingfang Xue, et al.
Published: (2022-12-01)

RMCW: An Improved Residual Network With Multi-Channel Weighting for Machinery Fault Diagnosis
by: Zheng Liu, et al.
Published: (2023-01-01)

Bearing Fault Diagnosis Based on Discriminant Analysis Using Multi-View Learning
by: Zhe Tong, et al.
Published: (2022-10-01)

Enhanced Feature Extraction Network Based on Acoustic Signal Feature Learning for Bearing Fault Diagnosis
by: Yuanqing Luo, et al.
Published: (2023-10-01)

Insulator Fouling Monitoring Based on Acoustic Signal and One-Dimensional Convolutional Neural Network
by: Li Hao, et al.
Published: (2022-05-01)

Intelligent Fault Diagnosis Method Using Acoustic Emission Signals for Bearings under Complex Working Conditions
by: Minh Tuan Pham, et al.
Published: (2020-10-01)

Acoustic-Based Fault Diagnosis of Commutator Motor
by: Adam Glowacz
Published: (2018-11-01)

University of Ottawa constant load and speed rolling-element bearing vibration and acoustic fault signature datasets
by: Mert Sehri, et al.
Published: (2023-08-01)

Bearing Fault Diagnosis Based on Wide Deep Convolutional Neural Network and Long Short Term Memory
by: Zijian Chen, et al.
Published: (2023-01-01)

A Transfer-Based Convolutional Neural Network Model with Multi-Signal Fusion and Hyperparameter Optimization for Pump Fault Diagnosis
by: Zhigang Zhang, et al.
Published: (2023-09-01)

Convolutional Neural Network-Based Transformer Fault Diagnosis Using Vibration Signals
by: Chao Li, et al.
Published: (2023-05-01)

A One-Dimensional Convolutional Neural Network-Based Method for Diagnosis of Tooth Root Cracks in Asymmetric Spur Gear Pairs
by: Onur Can Kalay, et al.
Published: (2023-03-01)

A Novel Method for Early Gear Pitting Fault Diagnosis Using Stacked SAE and GBRBM
by: Jialin Li, et al.
Published: (2019-02-01)

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
by: Minh Tuan Pham, et al.
Published: (2020-12-01)

A Non-Contact Fault Diagnosis Method for Rolling Bearings Based on Acoustic Imaging and Convolutional Neural Networks
by: Ran Wang, et al.
Published: (2020-01-01)

An Experimental Study of Clogging Fault Diagnosis in Heat Exchangers Based on Vibration Signals
by: Jianfeng Huang, et al.
Published: (2016-01-01)

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
by: Sheng Guo, et al.
Published: (2018-05-01)

An Effective Stator Fault Diagnosis Framework of BLDC Motor Based on Vibration and Current Signals
by: Tanvir Alam Shifat, et al.
Published: (2020-01-01)

Detecting Helical Gearbox Defects from Raw Vibration Signal Using Convolutional Neural Networks
by: Iulian Lupea, et al.
Published: (2023-10-01)

Deep Convolutional Neural Network Using Transfer Learning for Fault Diagnosis
by: Dong Zhang, et al.
Published: (2021-01-01)

Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine
by: Hao Yan, et al.
Published: (2022-10-01)

FAULT DETECTION AND LOCALIZATION IN MOTORCYCLES BASED ON THE CHAIN CODE OF PSEUDOSPECTRA AND ACOUSTIC SIGNALS
by: B. S. Anami, et al.
Published: (2013-06-01)

Improving the Performance of Convolutional GAN Using History-State Ensemble for Unsupervised Early Fault Detection with Acoustic Emission Signals
by: Yu Wang, et al.
Published: (2023-02-01)

Wind turbine blades fault diagnosis based on vibration dataset analysis
by: Ahmed Ali Farhan Ogaili, et al.
Published: (2023-08-01)

A Non-Contact Fault Diagnosis Method for Bearings and Gears Based on Generalized Matrix Norm Sparse Filtering
by: Huaiqian Bao, et al.
Published: (2021-08-01)

Fault diagnosis of electrical faults of three-phasei nduction motors using acoustic analysis
by: Adam Glowacz, et al.
Published: (2024-01-01)

An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model
by: Chih-Cheng Chen, et al.
Published: (2020-12-01)