Fault diagnosis of nonlinear systems using a hybrid approach

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 intelligentsystems 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 ofnonlinear systems and off-line monitoring purposes. 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 Presents fault detection, isolation, and identification (FDII) of reaction wheels of a 3-axis stabilized satellite in presence of disturbances and noise demonstrating effectiveness INDICE: 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.

• ISBN: 978-0-387-92906-4
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 345
• Fecha Publicación: 01/01/2009
• Nº Volúmenes: 1
• Idioma: Inglés