Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network

Chengguang Zhang; Zhen Guo; Chuan Li

doi:10.1038/s41598-025-08835-0

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Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network

Chengguang Zhang Zhen Guo Chuan Li

Year: 2025 Journal: Scientific Reports Vol: 15 (1)Pages: 20977-20977 Publisher: Nature Portfolio

DOI: 10.1038/s41598-025-08835-0

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Keywords:

Anomaly detection Adversarial system Computer science Generative adversarial network Artificial intelligence Generative grammar Convolutional neural network Pattern recognition (psychology) Anomaly (physics) Deep learning Machine learning Data mining

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network

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Citation History

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