Thermal-Imaging-Based PCA Method for Monitoring Process Temperature

To overcome the shortage of traditional temperature sensors, this paper adopts infrared thermal imaging technology for measurement. avoid spatial information loss issue during image data vectorization process, adopted relationship between pixels in principal component analysis (PCA) model training, which is called information-based PCA (SIPCA). Then, also used fault localization method to enhance location performance. Tested by an experimental tank system, proposed achieves better performance than approach, and it can detect heat leakage faults on surface equipment.