Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach [electronic resource] / by Ehsan Sobhani-Tehrani, Khashayar Khorasani.

By: Sobhani-Tehrani, Ehsan [author.]Contributor(s): Khorasani, Khashayar [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Control and Information Sciences: 383Publisher: Boston, MA : Springer US, 2009Description: XX, 268p. 155 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387929071Subject(s): Engineering | Systems theory | Vibration | Engineering | Vibration, Dynamical Systems, Control | Systems Theory, Control | Statistical Physics, Dynamical Systems and ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 620 LOC classification: TA355TA352-356Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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