Output details

Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis

This work presents a novel image processing method based on bi-dimensional empirical mode decomposition for enhancement of the quality of the image. The output is utilized for a framework implementing infrared thermal image to diagnose the faults of rotating machinery. Compared with the original methods, the enhanced image provides better quality and the useful information can be easily extracted resulting in improved accuracy of fault diagnosis.