A model based fault detection and diagnosis technique for DC motor is proposed in this paper. Fault detection using Kalman filter and its different variants are compared. Only incipient faults are considered for the study. The Kalman Filter iterations and all the related computations required for fault detection and fault confirmation are presented. A second order linear state space model of DC...

The improvement of the detection and diagnosis capability for the unanticipated fault is a tendency in the research and application of fault diagnosis. In this paper, some notions and the basic principles for the unanticipated fault detection and diagnosis are given. A general process model applied to the diagnosis for the unanticipated fault is designed, by adopting a three-layer progressive s...

Fault diagnosis is a vital discussion in power systems restoration. Recently, much research endeavors have been done for fault section diagnosis of power systems by using several techniques, such as rule-based expert system, logic-based expert system, fuzzy relation based expert system, neural network, optimization techniques based approach, etc. They diagnose the fault from different ways. How...

A conceptual design of a model-based fault detection and diagnosis system is developed for the Space Shuttle main engine. The design approach consists of process modeling, residual generation, and fault detection and diagnosis. The engine is modeled using a discrete time, quasilinear state-space representation. Model parameters are determined by identification. Residuals generated from the mode...

This paper describes recent implementations and proposes new developments related to automated fault and disturbance analysis. An advanced expert system for automated analysis of faults and related operations of protective relays using DFR data is described first. Further improvements in the fault location using synchronized sampling are discussed next. Possibility for DFR modifications to allo...

Fuel cell is one of the best alternatives of fossil energy. However, there are still two barriers: the durability and reliability, which block the wide application of fuel cells. To overcome these barriers, fault diagnosis is an efficient solution. This paper proposes a method for detection of common faults occurring in membrane electrode assemblies (MEA) of fuel cells using image processing to...

Here a innovative approach of Auto tuned fractional order control is proposed for fault tolerant control of Autonomous Underwater Vehicle (AUV). From fault detection and reconfiguration, fractional order controller is designed. Reconfiguration is designed using Eigen structure assignment technique. The proposed approach is tested on REMUS-100 AUV model. Variable step input is used as a referenc...

Fault diagnosis is a central aspect of network fault management. Since faults are unavoidable in communication systems, their quick detection and isolation is essential for the robustness, reliability, and accessibility of a system. In large and complex communication networks, automating fault diagnosis is critical. Traditionally, fault localization has been performed manually by experts but, a...

In a grid environment there are thousands of resources, services and applications that need to interact in order to make possible the use of the grid [1] as an execution platform. Since these elements are extremely heterogeneous, volatile and dynamic, there are many failure possibilities, including not only independent failures of each element, but also those resulting from interactions between...