System and method for advanced condition monitoring of an asset system

A method for advanced condition monitoring of an asset system, the method comprising the steps of:

• segmenting an operating space of an asset system into a plurality of operating regimes;
• using a plurality of auto-associative neural networks (AANNs) to determine an estimated value of an actual value sensed by the at least one sensor in a plurality of operating regimes;
• determining a plurality of residuals based on a difference between the estimated value and the actual value from each of the plurality of auto-associative neural networks;
• using a fuzzy supervisory model blender to generate a weighting factor used in determining an integrated overall residual from the plurality of residuals;
• determining a change of an operating condition of the asset system by analysis of the integrated overall residual;
• and
• providing an alert if a change of the operation of the asset system has been determined.