Gas Turbine Fault Diagnosis Using Probabilistic Neural Networks
-
Igor Loboda
and
Miguel Angel Olivares Robles
Abstract
Efficiency of gas turbine monitoring systems primarily depends on the accuracy of employed algorithms, in particular, pattern classification techniques for diagnosing gas path faults. In recent investigations many techniques have been applied to classify gas path faults, but recommendations for selecting the best technique for real monitoring systems are still insufficient and often contradictory. In our previous work, three classification techniques were compared under different conditions of gas turbine diagnosis. The comparative analysis has shown that all these techniques yield practically the same accuracy for each comparison case. The present contribution considers a new classification technique, Probabilistic Neural Network (PNN), and we compare it with the techniques previously examined. The results for all comparison cases show that the PNN is not inferior to the other techniques. We recommend choosing the PNN for real monitoring systems because it has an important advantage of providing confidence estimation for every diagnostic decision made.
©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Lean Blow-out Studies in a Swirl Stabilized Annular Gas Turbine Combustor
- Effect of Fuel Particle Size on the Stability of Swirl Stabilized Flame in a Gas Turbine Combustor
- Design Optimization of a Centrifugal Fan with Splitter Blades
- Influence of Additional Leading-Edge Surface Roughness on Performances in Highly Loaded Compressor Cascade
- Virtual Turbine Engine Test Bench Using MGET Test Device
- Gas Turbine Fault Diagnosis Using Probabilistic Neural Networks
- Vibration Characteristics of Squeeze Film Damper during Maneuver Flight
- Aerodynamic Optimization Design of Multi-stage Turbine Using the Continuous Adjoint Method
- A Target Indirect Thrust Measurement Method of Pulse Detonation Engine
- Research on Modeling of Propeller in a Turboprop Engine
Articles in the same Issue
- Frontmatter
- Lean Blow-out Studies in a Swirl Stabilized Annular Gas Turbine Combustor
- Effect of Fuel Particle Size on the Stability of Swirl Stabilized Flame in a Gas Turbine Combustor
- Design Optimization of a Centrifugal Fan with Splitter Blades
- Influence of Additional Leading-Edge Surface Roughness on Performances in Highly Loaded Compressor Cascade
- Virtual Turbine Engine Test Bench Using MGET Test Device
- Gas Turbine Fault Diagnosis Using Probabilistic Neural Networks
- Vibration Characteristics of Squeeze Film Damper during Maneuver Flight
- Aerodynamic Optimization Design of Multi-stage Turbine Using the Continuous Adjoint Method
- A Target Indirect Thrust Measurement Method of Pulse Detonation Engine
- Research on Modeling of Propeller in a Turboprop Engine
