Patent ID: 7826943

Claim:
A method for diagnosing faults in a particular device within a fleet of devices, the method comprising: receiving performance data related to one or more parameters associated with a fleet of devices; processing the performance data to detect one or more trend shifts in the one or more parameters; detrending the one or more parameters to derive noise-adjusted performance data related to a particular parameter associated with a particular device; generating a fleet-based diagnostic model based on trend patterns and data characteristics associated with the fleet of devices, wherein the fleet-based diagnostic model comprises one or more fuzzy rules defining one or more expected trend shift data ranges for the one or more parameters associated with the fleet of devices; computing one or more scaling factors for the particular parameter associated with the particular device; scaling the one or more of fuzzy rules defined for the one or more parameters in the fleet-based diagnostic model, based on the one or more scaling factors, to generate a personalized diagnostic model for the particular parameter associated with the particular device; and evaluating the personalized diagnostic model against the one or more trend shifts detected for the one or more parameters, to diagnose a fault associated with the particular device.