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Gas Turbine Diagnostics Signal Processing and Fault Isolation

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 Diagnostics: Signal Processing and Fault Isolation presents signal processing algorithms to improve fault diagnosis in gas turbine engines, particularly jet engines. The algorithms focus on removing noise and outliers while keeping the key signal features t.

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  • "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 Diagnostics: Signal Processing and Fault Isolation presents signal processing algorithms to improve fault diagnosis in gas turbine engines, particularly jet engines. The algorithms focus on removing noise and outliers while keeping the key signal features t."@en
  • ""A discussion of the different methods in data filtering, trend shift detection, and fault isolation developed over the past decade, 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 which can be easily done using worksheets such as MS Excel or through Matlab. The algorithms presented will be useful to engineers and scientists working on fault diagnosis of gas turbine engines. The data cleaning algorithms based on nonlinear signal processing provided are also applicable to condition and health monitoring problems in general. "--"
  • ""A discussion of the different methods in data filtering, trend shift detection, and fault isolation developed over the past decade, 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 which can be easily done using worksheets such as MS Excel or through Matlab. The algorithms presented will be useful to engineers and scientists working on fault diagnosis of gas turbine engines. The data cleaning algorithms based on nonlinear signal processing provided are also applicable to condition and health monitoring problems in general."--"@en

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  • "Electronic books"@en
  • "Ressources Internet"

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  • "Gas Turbine Diagnostics Signal Processing and Fault Isolation"@en
  • "Gas turbine diagnostics signal processing and fault isolation"
  • "Gas turbine diagnostics : signal processing and fault isolation"
  • "Gas turbine diagnostics signal processing and fault isolation"@en

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