Gas Turbine Diagnostics: Signal Processing and Fault Isolation

Examining methods in data filtering, trend shift detection, and fault isolation, this book provides a variety of new research tools for use in the condition monitoring of jet engines. Each method is demonstrated through numerical simulations that can be easily done using worksheets such as Excel^(R) or through MATLAB^(R). The signal processing algorithms presented will be useful to engineers, scientists, and researchers working on fault diagnosis of gas turbine engines. The algorithms can also be used for condition and health monitoring problems in general.