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A middleware model named ROAFTS (Real-time Object-oriented Adaptive Fault Tolerance Support) has been evolving in the UCI DREAM Lab. over the past decade as the core of a reliable execution engine model for fault-tolerant (FT) real-time (RT) distributed computing (DC) applications. It is meant to be an integration of various mechanisms for fault detection and recovery in a form that meshes well with...
A novel fault identification and location scheme designed for small distribution systems as found on aircraft is presented. Under normal operating conditions, the aircraft power supply contains only a low level of triplen harmonics, resulting from slight mismatches in the distribution of single phase nonlinear loads across the three phases. When cable faults occur, the change of conduction modes of...
For real-time condition monitoring and fault detection of dual-lane controlled systems, reduced order models and long-term prediction are required. In this paper fault detection of reduced order model of nonlinear systems based on long-term prediction is proposed by using self-organizing fuzzy neural network (SOFNN). The main advantages of SOFNN are that, firstly, it is very user friendly as it can...
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