A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 224, P. 111950 - 111950

Published: Sept. 25, 2024

Language: Английский

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Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102573 - 102573

Published: May 2, 2024

Language: Английский

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A lightweight progressive joint transfer ensemble network inspired by the Markov process for imbalanced mechanical fault diagnosis

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 224, P. 111994 - 111994

Published: Oct. 1, 2024

Language: Английский

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An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 251, P. 110404 - 110404

Published: July 28, 2024

Language: Английский

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Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 142, P. 109963 - 109963

Published: Jan. 5, 2025

Language: Английский

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A Novel Reinforcement Learning Agent for Rotating Machinery Fault Diagnosis with Data Augmentation

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 253, P. 110570 - 110570

Published: Oct. 6, 2024

Language: Английский

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Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 251, P. 110380 - 110380

Published: July 26, 2024

Language: Английский

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Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 302, P. 112396 - 112396

Published: Aug. 24, 2024

Language: Английский

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Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102862 - 102862

Published: Oct. 1, 2024

Language: Английский

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A weighted frequency domain energy operator spectral method based on soft thresholding fast iterative filtering for rolling bearing incipient fault feature extraction

Structural Health Monitoring, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

The incipient features in the vibration signal are a typical signature of rolling bearing faults, and their extraction is vital for early-stage fault diagnosis, yet quite challenging given complexity noisy signal. Therefore, weighted frequency domain energy operator (FDEO) spectral method based on soft thresholding fast iterative filtering (FIF) proposed this work. Firstly, FIF technique to improve equivalent filter properties such as continuity transition band lengths. Secondly, an integrated sparsity measure named average Shannon kurtosis entropy that incorporates randomness impulse characteristics constructed estimate feature information Finally, FDEO spectrum designed complete identification, it suppresses chaotic component domain. framework evaluated by simulation experiment, its performance intense noise background verified through comparisons with other decomposition methods.

Language: Английский

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