Patent ID: 7080290
Filing Date: 2006-07-18
Classification: G05B,G06F,G06K

Abstract:
1. A method for diagnosis and prognosis of faults in a physical system comprising: receiving sensor data representative of measurements made on the physical system, the measurements being representative of values of signals produced by the physical system; receiving discrete data comprising system status variables and system command information; producing model enhanced sensor signals by fitting the sensor data to a partial model of the physical system; producing predicted system states based on the discrete data; detecting discrepancies among the discrete data; identifying suspected bad signals by detecting discrepancies among the sensor data based on a statistical model of the sensor data; confirming detection of failures based on the discrepancies among the discrete data, on the suspected bad signals, and on the predicted system states; and producing predicted faults based on a stochastic model of the sensor data to produce predicted values of the sensor data from the stochastic model, the predicted faults being based on the predicted values.