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Automated Gas Turbine Sensor Fault Diagnostics
Gbanaibolou Jombo
, Yu Zhang
, Jonathan Griffiths
, Anthony Latimer
Centre for Engineering Research
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Materials and Structures
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
8
Citations (Scopus)
Overview
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Dive into the research topics of 'Automated Gas Turbine Sensor Fault Diagnostics'. Together they form a unique fingerprint.
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Keyphrases
Acceptance Testing
33%
Actual Conditions
16%
Alarm Limits
33%
Anomalous Behavior
16%
Automated Sensors
16%
Component Failure
16%
Detection Method
16%
Fault Diagnostics
100%
Gas Turbine
100%
Gas Turbine Components
16%
Maximal Overlap Discrete Wavelet Transform (MODWT)
16%
Multi-sensor
33%
Performance Prediction
16%
Reference Signal
16%
Robust Techniques
16%
Sensor Anomaly
33%
Sensor Fault
100%
Sensor Fault Detection
16%
Sensor Group
16%
Sensor Signals
16%
Sensor Validation
33%
Signaling Crosstalk
16%
Transient Operation
16%
Validation Scheme
33%
Wavelet Basis
16%
Engineering
Acceptance Tests
14%
Component Failure
14%
Crosstalk
14%
Gas Turbine
100%
Performance Prediction
14%
Reference Signal
14%
Sensor Signal
14%
Transients
14%
Turbine Components
14%