Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging.
Zhangwei WangHaiwen YuanJianxun LvChengxin LiuHai XuJinmeng LiPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- infrared
- anomaly detection
- thermal imaging
- feature vectors
- intrusion detection
- infrared imagery
- unsupervised learning
- anomalous behavior
- feature extraction
- feature space
- network traffic
- infrared images
- feature analysis
- detecting anomalies
- visible spectrum
- printed circuit boards
- intrusion detection system
- hyperspectral
- focal plane
- network intrusion detection
- machine learning
- text classification
- thermal images
- supervised learning
- detect anomalies
- support vector machine
- pattern recognition
- one class support vector machines
- thermal infrared
- quality control
- image processing