Kernel-based system and method for estimation-based equipment condition monitoring

摘要

A system for monitoring in real-time the health of equipment or the performance of a process utilizing a universal modeling technique that generates estimates of parameters for gauging early indications of anomalies. A kernel regression model such as the Nadaraya-Watson may be used, and may be in autoassociative form. Kernel optimization is automatically provided. A support vector regression can be substituted for the kernel regression.