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Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

Author: Khashayar Khorasani; Ehsan Sobhani-Tehrani
Publisher: Boston, MA : Springer-Verlag US, 2009.
Series: Lecture notes in control and information sciences, 383.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
There is an increasing demand for man-made dynamical systems to operate autonomously in the presence of faults and failures in sensors, actuators or components. Fault diagnosis and health monitoring are essential components of an autonomous system. Hence, a high demand exists for the development of intelligent systems that are able to autonomously detect the presence and isolate the location of faults occurring in  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Khashayar Khorasani; Ehsan Sobhani-Tehrani
ISBN: 9780387929071 038792907X
OCLC Number: 428883121
Description: 1 online resource (: v.: digital.
Contents: Introduction --
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 satellite's attitude control subsystem --
Conclusions.
Series Title: Lecture notes in control and information sciences, 383.
Responsibility: by Khashayar Khorasani, Ehsan Sobhani-Tehrani.

Abstract:

There is an increasing demand for man-made dynamical systems to operate autonomously in the presence of faults and failures in sensors, actuators or components. Fault diagnosis and health monitoring are essential components of an autonomous system. Hence, a high demand exists for the development of intelligent systems that are able to autonomously detect the presence and isolate the location of faults occurring in different components of complex dynamical systems. Fault Diagnosis of Nonlinear Systems Using A Hybrid Approach focuses on developing a fault diagnosis methodology that enables on-line health monitoring of nonlinear systems and off-line monitoring purposes.

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