METHOD AND APPARATUS FOR MACHINE LEARNING BASED INLET DEBRIS MONITORING

An inlet debris monitoring includes processing circuitry configured to: obtain a data set of electrostatic charge data from an electrostatic sensor; utilize a dimensional reduction technique to obtain a first set of basis vectors that represent the data set in a reduced dimensional space that is reduced with respect to initial dimensions of the data set; utilize the first set of basis vectors or a second set of reference basis vectors which are based on historical electrostatic charge data for one or more reference gas turbine engines, to project the data set onto the reduced dimensional space and obtain a reduced dimensional representation of the data set; utilize machine learning to determine whether the reduced dimensional representation of the data set indicates foreign object debris in the particular gas turbine engine; and based on the determination indicating detection of foreign object debris, provide a foreign object debris notification.