Diagnosis, Fault Detection & Tolerant Control

個数:1
紙書籍版価格
¥38,055
  • 電子書籍
  • ポイントキャンペーン

Diagnosis, Fault Detection & Tolerant Control

  • 著者名:Derbel, Nabil (EDT)/Ghommam, Jawhar (EDT)/Zhu, Quanmin (EDT)
  • 価格 ¥28,333 (本体¥25,758)
  • Springer(2020/02/20発売)
  • 春分の日の三連休!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/22)
  • ポイント 7,710pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9789811517457
  • eISBN:9789811517464

ファイル: /

Description

This book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.

Table of Contents

Fault diagnosis of linear switched systems based on hybrid observer.- Detection of a microstrip line defects.- Neutral time-delay system: Diagnosis and prognosis using UIO observer.- Sensor fault detection and isolation based on Variable Moving Window KPCA.- Extended Kalman Filtering for Remaining Useful Lifetime Prediction of pipeline in a Two Tank System.- Intrinsic Mode Function Selection and Statistical Information Analysis for Bearing Ball Fault Detection.- Performance investigation of animproved diagnostic method for open IGBT faults in VSI fed IM drives.- Fault Tolerant Control of two-timescale Systems.- Study of an HVDC link in dynamic state following commutation failures and AC fault based on modeling and real time simulation.- Reliable Control of Power Systems.- Influence of design variables on the performance of Permanent Magnet Synchronous Motor with demagnetization fault.- Active FTC of LPV system by adding virtual components.- Faults detection and localization of centrifugal gas compressor system using fuzzy logic and hybrid Kernel-SVM Methods.