Sensor faults detection and classification using SVM with diverse features
(2017)
Presentation / Conference Contribution
Jan, S. U., & Koo, I. S. (2017). Sensor faults detection and classification using SVM with diverse features. In 2017 International Conference on Information and Communication Technology Convergence (ICTC). https://doi.org/10.1109/ictc.2017.8191044
Sensors in industrial systems fault frequently leading to serious consequences regarding cost and safety. The authors propose support vector machine-based classifier with diverse time- and frequency-domain feature models to detect and classify these... Read More about Sensor faults detection and classification using SVM with diverse features.