ABSTRACT

Widely used for power generation, gas turbine engines are susceptible to faults due to the harsh working environment. Most engine problems are preceded by a sharp change in measurement deviations compared to a baseline engine, but the trend data of these deviations over time are contaminated with noise and non-Gaussian outliers. Gas Turbine Diagnos

chapter 1|18 pages

- Introduction

chapter 2|14 pages

- Idempotent Median Filters

chapter 3|10 pages

- Median-Rational Hybrid Filters

chapter 4|10 pages

- FIR-Median Hybrid Filters

chapter 5|22 pages

- Transient Data and the Myriad Filter

chapter 6|18 pages

- Trend Shift Detection

chapter 8|16 pages

- Kalman Filter

chapter 9|10 pages

- Neural Network Architecture

chapter 10|18 pages

- Fuzzy Logic System

chapter 11|20 pages

- Soft Computing Approach

chapter 12|24 pages

- Vibration-Based Diagnostics