Patent ID: 7734451
Filing Date: 2010-06-08
Classification: G05B,G06N

Abstract:
1. A method, comprising: receiving operating data associated with an industrial process at an early event detector; generating a first model and a second model using a first training set of the operating data, the first model generated by producing a first Principal Component Analysis (PCA) model and reducing a number of principal components in the first PCA model, the second model generated by adjusting a membership function and a digital latch associated with a Fuzzy Logic model, the first training set comprising operating data associated with normal operation of the industrial process; forming an early event detection (EED) model using the first and second models; validating at least one of the first model and the EED model by generating a third model and comparing operation of at least one of the first model and the EED model to operation of the third model, the third model comprising a second PCA model generated using a second training set of the operating data, the second training set comprising operating data associated with normal operation of the industrial process distinct from the first training set; using the EED model to predict one or more events associated with the industrial process, the one or more events associated with one or more abnormal conditions in the industrial process, the one or more events predicted by: generating one or more notifications identifying the one or more predicted events.