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  • © 2009

Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

Authors:

  1. Ehsan Sobhani-Tehrani

    1. GlobVision, Inc., St. Laurent, Canada

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  2. Khashayar Khorasani

    1. Dept. Electrical & Computer Engineering, Concordia University, Montreal, Canada

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    You can also search for this author in PubMed   Google Scholar

  • Presents a novel integrated hybrid approach for fault diagnosis (FD) of nonlinear systems; taking advantage of both systems' mathematical model and the adaptive nonlinear approximation capability of computational intelligence techniques
  • Simultaneously accomplishes fault detection, isolation, and identification (FDII) within a unified diagnostic module
  • Presents fault detection, isolation, and identification (FDII) of reaction wheels of a 3-axis stabilized satellite in presence of disturbances and noise demonstrating effectiveness under both full and partial-state measurements
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 383)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xix
    PDF

  2. Introduction

    • Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 1-19

  3. Fault Detection and Diagnosis

    • Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 21-49

  4. Proposed FDII for Nonlinear Systems with Full-State Measurement

    • Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 51-70

  5. Proposed FDII for Nonlinear Systems with Partial State Measurement

    • Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 71-97

  6. Application to a Satellite’s Attitude Control Subsystem

    • Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 99-217

  7. Conclusions

    • Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 219-223

  8. Back Matter

    Pages 225-265
    PDF
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About this book

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.
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Keywords

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Authors and Affiliations

  • GlobVision, Inc., St. Laurent, Canada

    Ehsan Sobhani-Tehrani

  • Dept. Electrical & Computer Engineering, Concordia University, Montreal, Canada

    Khashayar Khorasani

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Buy it now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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