MFCC and CELP to detect turbine engine faults

A fault detection and diagnosis system for a gas turbine engine, the system comprising:

• a sensor positioned on the gas turbine engine;
• and
• a health monitoring unit which receives and processes a sensor signal from the sensor, the health monitoring unit comprising:
• a digital storage medium containing a library of fault and non-fault feature profiles mapping fault states and non-fault states of the gas turbine engine, respectively, to combinations of Mel-Frequency Cepstral Coefficient (MFCC) frequency bank energies and/or Code Excited Linear Prediction (CELP) polynomial coefficients;
• and
• a processor which extracts a feature set from the sensor signal using at least one of MFCC algorithms and CELP algorithms, and detects and diagnoses faults in the gas turbine engine by matching the feature set to one or more of the fault or non-fault feature profiles.