Patent ID: 8332337

Claim:
A system for performing real-time condition-based analysis on a machine for providing diagnostic and prognostic outputs indicative of machine status comprising: a signal processor for receiving signals from a plurality of sensors positioned and adapted for measuring a plurality of machine performance parameters, for conditioning and shaping at least some of the received signals into a form for inputting into a neural network, for identifying a current operational mode of a plurality of operational modes of the machine, and for selecting a particular neural network of a plurality of neural networks to which the conditioned and shaped signals are to be provided based at least in part on the current operational mode; the plurality of neural networks including the particular neural network, the plurality of neural networks each adapted to receive at least some of the conditioned and shaped signals, each neural network associated with a different operational mode of the plurality of operational modes and configured to detect and classify a state of the machine based upon the received conditioned and shaped signals and upon a predetermined ontology of machine states, diagnostics, and prognostics, to determine from the machine state a relative health status thereof, and to output a signal representative of the determined relative health status; and a Bayesian intelligence network adapted to receive the machine state from the neural network and to determine therefrom and output a probability of a fault at a predetermined future time.