{"product_id":"gas-turbine-diagnostics-signal-processing-and-fault-isolation-hardcover","title":"Gas Turbine Diagnostics: Signal Processing And Fault Isolation Hardcover","description":"\u003cp\u003eStore Name: Online Store\u003cbr\u003eProduct Condition: Good As New\u003cbr\u003eCondition: Nil\u003cbr\u003eExpiry date: Nil\u003cbr\u003eWarranty date: Nil\u003cbr\u003e\u003cbr\u003eBook Type: Non Fiction\/Science\/Math\u003c\/p\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\" aria-expanded=\"true\"\u003e\n\u003cp\u003e\u003cspan\u003eWidely 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. \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eGas Turbine Diagnostics: Signal Processing and Fault Isolation\u003c\/span\u003e\u003cspan\u003e 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 that may indicate a fault.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe book brings together recent methods in data filtering, trend shift detection, and fault isolation, including several novel approaches proposed by the author. Each method is demonstrated through numerical simulations that can be easily performed by the reader. Coverage includes:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFilters for gas turbines with slow data availability\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHybrid filters for engines equipped with faster data monitoring systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eNonlinear myriad filters for cases where monitoring of transient data can lead to better fault detection\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eInnovative nonlinear filters for data cleaning developed using optimization methods\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAn edge detector based on gradient and Laplacian calculations\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eA process of automating fault isolation using a bank of Kalman filters, fuzzy logic systems, neural networks, and genetic fuzzy systems when an engine model is available\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAn example of vibration-based diagnostics for turbine blades to complement the performance-based methods\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eUsing simple examples, the book describes new research tools to more effectively isolate faults in gas turbine engines. These algorithms may also be useful for condition and health monitoring in other systems where sharp changes in measurement data indicate the onset of a fault.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"RANJAN GANGULI","offers":[{"title":"Default Title","offer_id":49566605770979,"sku":"kex1787249275780","price":2.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0734\/2961\/4819\/files\/gas-turbine-diagnostics-signal-processing-and-fault-isolation-hardcover_1.jpg?v=1787249282","url":"https:\/\/regalcladfashion.shop\/products\/gas-turbine-diagnostics-signal-processing-and-fault-isolation-hardcover","provider":"My Store","version":"1.0","type":"link"}