Results 221 to 230 of about 5,365 (259)
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Fault detection and isolation observers
International Journal of Control, 1994A design of reduced-order observers is proposed for linear time-invariant systems with unknown inputs including unknown measurement disturbances. Based on the unknown-input observer design, a systematic treatment of designing fault detection and isolation (FDI) observers is provided.
M. HOU, P. C. MÜLLER
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Fault Tolerant Control and Fault Detection and Isolation
2011This chapter formally provides a definition of the terms fault and failure and briefly discusses the different types of faults and failures which can occur in actuators and sensors—with specific aircraft examples. The chapter introduces the concept of fault tolerant control and gives a general overview of the different FTC and FDI research fields.
Halim Alwi +2 more
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Synthesis of Fault Detection and Isolation Filters
2017This chapter presents general synthesis procedures of fault detection filters, which solve the fault detection problems formulated in Chap. 3. Two computational paradigms are instrumental in developing generally applicable, numerically reliable and computationally efficient synthesis methods.
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Fault Detection and Isolation of Actuator Faults in Spacecraft Formation Flight
Proceedings of the 45th IEEE Conference on Decision and Control, 2006This paper investigates the development of Fault Detection and Isolation (FDI) filters for spacecraft formation flight. A MIMO architecture for formation flying control is considered. By utilizing a geometric FDI methodology, a local/decentralized detection filter is developed for detecting faults in other spacecraft by determining the required ...
Nader Meskin, Khashayar Khorasani
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Fault Detection and Isolation for Affine Fuzzy Systems With Sensor Faults
IEEE Transactions on Fuzzy Systems, 2016This paper investigates the fault detection and isolation (FDI) problem for a class of nonlinear systems with sensor outage faults. The considered nonlinear systems are described as affine fuzzy models, and the system outputs are chosen as the premise variables of fuzzy models.
Huimin Wang +2 more
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A Bayesian approach to hybrid fault detection and isolation
2015 54th IEEE Conference on Decision and Control (CDC), 2015Fault diagnosis is a crucial component in aircraft control. Fast detection and effective isolation of faults is desired for both manned and unmanned aircrafts to take correct actions when a fault has occurred. This paper proposes a hybrid algorithm for helicopter fault detection and isolation (FDI), which systematically integrates the two paradigms in ...
Shuo Zhang, Miroslav Baric
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Performance metrics for fault detection and isolation filters
Proceedings of the 2011 American Control Conference, 2011Fault detection and isolation (FDI) filters are typically synthesized for open-loop or closed-loop systems. The controller affects the FDI filter performance in the closed-loop. Performance metrics for FDI filters are proposed to assess filter performance and controller-filter interaction in the presence of uncertain dynamics in the closed-loop.
Rohit Pandita, József Bokor, Gary Balas
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Actuator fault detection and isolation system for an hexacopter
2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), 2014The problem of detection and isolation of actuator faults in hexacopter vehicles is address in this article. The aim is to detect and isolate possible faults which can occur on the vehicle actuation system (i.e. rotors and propellers). The dynamic nonlinear model of an hexarotor vehicle is first derived to build a model-based diagnosis system.
Alessandro Freddi +3 more
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Fault detection and isolation in an unsupervised learning environment
Pattern Recognition Letters, 1994Summary: A new approach to detect and isolate faults in dynamic systems is proposed. System parameters are identified by suitable recursive identification techniques. Faults in the system are detected when changes in the estimated parameters occur. The convergence of the identified parameters is determined by performing three different statistical ...
Arvind Srinivasan 0003, Celal Batur
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ROBUST FAULT DETECTION AND ISOLATION IN MOBILE ROBOT
IFAC Proceedings Volumes, 2006Abstract Robust nonlinear analytical redundancy (RNLAR) technique is used to detect and isolate actuator and sensor faults in a mobile robot. Both model-plant-mismatch (MPM) and process disturbance are considered during fault detection. The RNLAR is used to design primary residual vectors (PRV), which are highly sensitive to the faults and less ...
Bibhrajit Halder, Nilanjan Sarkar
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