The new idea of this research is application of a new fault detection and isolation (FDI) technique for supervision of sensor networks in transportation system. In measurement systems, it is necessary to detect all types of faults and failures, based on predefined algorithm. Last improvements in artificial neural network studies (ANN) led to using them for some FDI purposes. In this paper, appl...

We consider a fault detection and isolation problem for inertial navigation systems which use redundant inertial sensors. We propose a FDI method using average of multiple parity vectors which reduce false alarm and wrong isolation, and improve correct isolation. We suggest the number of redundant sensors required to isolate simultaneous faults. The performance of the proposed FDI algorithm is ...

This paper presents a fault detection and isolation (FDI) filter design to linearized longitudinal dynamics of a Boeing 747 series 100/200. The FDI filter design based on fundamental problem of residual generation (FPRG). In our case the fault detection filter is sensitive to elevator and stabilizer fault. The three type of actuator failures considered in this paper are lock failure, loss in ef...

In a fault tolerant control (FTC) system, a parameter varying FTC law is reconfigured based on fault parameters estimated by fault detection and isolation (FDI) modules. FDI modules require some time to detect fault occurrences in aero-vehicle dynamics. This paper illustrates analysis of a FTC system based on estimated fault parameter transient behavior which may include false fault detections ...

In this paper, an approach for fault detection and isolation filter design based on the reconstruction of the fault modes is presented. Input reconstruction and a very closely related concept, the system inversion is addressed to the fault detection and isolation problem. Moreover, the basic concept of that field, the fault detectability, output separability, and the fault detection and isolati...

This paper presents a novel fault detection and isolation (FDI) architecture applied to the lateral-directional axis of an F-14 aircraft during powered approach to landing under sensor failures. The fault-tolerant architecture employed is based on the so-called “Robust Multiple-Model Adaptive Control” (RMMAC) and hence is referred to as “RMMAC/FDI”. The results demonstrate successful stability ...

In the control of complex dynamic plants, fault detection and isolation (FDI) is a prerequisite for a fault tolerant control architecture. In order to increase the reliability and robustness of the fault diagnosis, it is fundamental that the FDI system is given a hierarchical structure, reflecting, as far as possible, the natural decomposition of the plant into physical and/or logical subsystem...

Model-based fault detection and isolation (FDI) is an approach with increasing attention in the academic and industrial fields, due to economical and safety related matters. In FDI, the discrepancies between system outputs and model outputs are called residuals, and are used to detect and isolate faults. This paper proposes a model-based architecture for fault detection and isolation based on f...

Fault detection and isolation (FDI) logic plays a crucial role in enhancing the safety and reliability, and reducing the operating cost of aircraft propulsion systems. However, it is a challenging problem achieving the FDI task with high reliability. For this purpose, various approaches have been proposed in the literature. In an on-line engine fault diagnoses, two tasks may use Kalman filter t...

This paper presents a distributed fault detection and isolation (FDI) method for a class of largescale nonlinear uncertain systems. In the distributed FDI architecture, a local FDI component is designed for each subsystem by utilizing local measurements and certain communicated information from neighboring FDI components associated with subsystems that are directly interconnected. Under certain...