A comparison study on anomaly detection methods in manufacturing process monitoring with X-ray images

Process monitoring and anomaly detection in manufacturing production systems are of vital importance in the consistency, reliability, and quality of manufacturing operations, which motivates the development of a large number of anomaly detection methods. In this work, a comparison study on represent...

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Veröffentlicht in:	Journal of intelligent manufacturing Jg. 36; H. 6; S. 4389 - 4409
Hauptverfasser:	Huang, Congfang, Blondheim, David, Zhou, Shiyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2025 Springer Nature B.V
Schlagworte:	Anomalies Business and Management Control Criteria Decomposition Deep learning Hypothesis testing Intelligent manufacturing systems Machine learning Machines Manufacturing Manufacturing industry Mechatronics Monitoring Principal components analysis Processes Production Robotics Statistical analysis Statistical methods Statistics Tensor decomposition X-ray image Generative adversarial networks Anomaly detection Convolutional variational autoencoder Pattern extraction
ISSN:	0956-5515, 1572-8145
Online-Zugang:	Volltext
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