Simulation models for bearing vibration generation and fault detection via neural networks

Simulation models for bearing vibration generation and fault detection via neural networks

Xehetasun bibliografikoak
Egile Nagusiak:	Wang, X, Mcfadden, P, E, I
Formatua:	Conference item
Argitaratua:	1996

Antzeko izenburuak

Vibration based bearing fault diagnosis identification using neural network /
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Argitaratua: (2013)

Detection of gear faults by decomposition of matched differences of vibration signals
nork: Mcfadden, P
Argitaratua: (2000)

Mechanical bearing fault detection based on two-stage neural network
nork: X. Y. Fu, et al.
Argitaratua: (2024-01-01)

Application of wavelets to gearbox vibration signals for fault detection
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Argitaratua: (1996)

Vibration based bearing fault diagnosis identification using neural network [electronic resource] /
nork: Tan, Hwee Mean, 1979-
Argitaratua: (2013)

Factory-Based Vibration Data for Bearing-Fault Detection
nork: Adam Lundström, et al.
Argitaratua: (2023-06-01)

Improved flower pollination algorithm based on convolutional neural network for bearing vibration fault classification /
nork: Md. Fadil Md. Esa, 1978-, author 404163, et al.
Argitaratua: (2024)

Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis
nork: Qing Zhang, et al.
Argitaratua: (2024-03-01)

Clustering of frequency-based vibration signal for bearing fault detection
nork: Chia, Ming Xuan
Argitaratua: (2013)

Development of bearing fault detection system based on vibration signal
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Argitaratua: (2017)

Vibration signal for bearing fault detection using random forest
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Argitaratua: (2023)

Ball bearing vibration data for detecting and quantifying spall faults
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Argitaratua: (2023-04-01)

A graph neural network-based bearing fault detection method
nork: Lu Xiao, et al.
Argitaratua: (2023-03-01)

A New Generative Neural Network for Bearing Fault Diagnosis with Imbalanced Data
nork: Wei You, et al.
Argitaratua: (2020-01-01)

SIMULATION-DRIVEN DEEP CLASSIFICATION OF BEARING FAULTS FROM RAW VIBRATION DATA
nork: Martin Hemmer, et al.
Argitaratua: (2019-12-01)

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

Compressive Sensing of Roller Bearing Faults via Harmonic Detection from Under-Sampled Vibration Signals
nork: Gang Tang, et al.
Argitaratua: (2015-10-01)

Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network
nork: Juan-Jose Saucedo-Dorantes, et al.
Argitaratua: (2021-08-01)

Detection and diagnosis of fault bearing using wavelet packet transform and neural network
nork: Said DJABALLAH, et al.
Argitaratua: (2019-06-01)

Detection and diagnosis of fault bearing using wavelet packet transform and neural network
nork: Djaballah Said, et al.
Argitaratua: (2019-07-01)

Linear Bearing Fault Detection in Operational Condition Using Artificial Neural Network
nork: Lawbootsa Siwanu, et al.
Argitaratua: (2019-01-01)

A wavelet decomposition analysis of vibration signal for bearing fault detection
nork: Che Ku Eddy Nizwan, Che Ku Husin, et al.
Argitaratua: (2013)

Algorithm for Selecting Signal Processing Technique in Vibration Based Bearing Fault Detection
nork: Amit R. Bhende, et al.
Argitaratua: (2013-04-01)

Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images
nork: Xunshi Yan, et al.
Argitaratua: (2019-01-01)

Effectiveness Analysis of PMSM Motor Rolling Bearing Fault Detectors Based on Vibration Analysis and Shallow Neural Networks
nork: Pawel Ewert, et al.
Argitaratua: (2021-01-01)

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

Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty
nork: Baokun Han, et al.
Argitaratua: (2020-01-01)

Application of synchronous averaging to vibration monitoring of rolling element bearings
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Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration
nork: Ehsan Mollasalehi, et al.
Argitaratua: (2017-11-01)

Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals
nork: Mohammad Mohiuddin, et al.
Argitaratua: (2022-11-01)

Fault Detection for Vibration Signals on Rolling Bearings Based on the Symplectic Entropy Method
nork: Min Lei, et al.
Argitaratua: (2017-11-01)

Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions
nork: Moussa Hamadache, et al.
Argitaratua: (2018-08-01)

Training feedforward neural networks for fault diagnosis of ball bearing
nork: Tuan Abdul Rahman, Tuan Ahmad Zahidi, et al.
Argitaratua: (2018)

Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network
nork: Shenglong Wang, et al.
Argitaratua: (2024-10-01)

A Review on Convolutional Neural Network in Bearing Fault Diagnosis
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Argitaratua: (2019-01-01)

The study of faults in ball bearings using vibrations analysis/
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Fault Diagnosis of Bearings with Adjusted Vibration Spectrum Images
nork: Mingquan Qiu, et al.
Argitaratua: (2018-01-01)

Vibration-Based Detection of Bearing Damages in a Planetary Gearbox Using Convolutional Neural Networks
nork: Julia Scholtyssek, et al.
Argitaratua: (2023-07-01)

Multi-Scale Convolutional Recurrent Neural Network for Bearing Fault Detection in Noisy Manufacturing Environments
nork: Seokju Oh, et al.
Argitaratua: (2021-04-01)

Convolutional Neural Networks Based on Resonance Demodulation of Vibration Signal for Rolling Bearing Fault Diagnosis in Permanent Magnet Synchronous Motors
nork: Li Ding, et al.
Argitaratua: (2024-08-01)