MFCC and CELP to detect turbine engine faults

A fault detection and diagnosis for a gas turbine engine 12 comprises collecting a sensor signal from an acoustic or vibrational sensor 22 at the gas turbine engine, preprocessing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Freque...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	TSAU, ENSHUO, GAWECKI, MARTIN, KUO, CHUNG CHIECH, KANG, JE WON, GEIB, ANDREW F, SCHEID, PAUL RAYMOND
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	BLASTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING ENGINE PLANTS IN GENERAL FUNCTIONAL ELEMENTS OF SUCH SYSTEMS HEATING LIGHTING MACHINES OR ENGINES IN GENERAL MECHANICAL ENGINEERING MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAMTURBINES PHYSICS REGULATING STEAM ENGINES WEAPONS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	A fault detection and diagnosis for a gas turbine engine 12 comprises collecting a sensor signal from an acoustic or vibrational sensor 22 at the gas turbine engine, preprocessing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Frequency Cepstral Coefficients (MFCC) algorithms and/or Code Excited Linear Prediction (CELP) algorithms. Fault and non-fault states are reported based on comparison the feature set and a library of fault and non-fault feature profile corresponding to fault and non-fault states of the gas turbine engine.