Theincreasingcomplexityofspacevehiclessuchassatellites, andthecostreduction measures that have affected satellite operators are increasingly driving the need for more autonomy in satellite diagnostics and control systems. Current methods for detecting and correcting anomalies onboard the spacecraft as well as on the ground are primarily manual and labor intensive, and therefore, tend to be slow. Operators inspect telemetry data to determine the current satellite health. They use various statisticaltechniques andmodels, buttheanalysisandevaluation ofthelargevolume of data still require extensive human intervention and expertise that is prone to error. Furthermore, for spacecraft and most of these satellites, there can be potentially unduly long delays in round-trip communications between the ground station and the satellite. In this context, it is desirable to have onboard fault-diagnosis system that is capable of detecting, isolating, identifying or classifying faults in the system withouttheinvolvementandinterventionofoperators.Towardthisend, theprinciple goal here is to improve the ef?ciency, accuracy, and reliability of the trend analysis and diagnostics techniques through utilization of intelligent-based and hybrid-based methodologies.
Mục lục
Fault Detection and Diagnosis.- Proposed FDII for Nonlinear Systems with Full-State Measurement.- Proposed FDII for Nonlinear Systems with Partial State Measurement.- Application to a Satelliteâs Attitude Control Subsystem.- Conclusions.Mua cuốn sách điện tử này và nhận thêm 1 cuốn MIỄN PHÍ!
Ngôn ngữ Anh ● định dạng PDF ● Trang 268 ● ISBN 9780387929071 ● Nhà xuất bản Springer US ● Thành phố MA ● Quốc gia US ● Được phát hành 2009 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 2146628 ● Sao chép bảo vệ Adobe DRM
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