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When we work in a large scale network, number of problems arises, the total time required to deal with these type of problems depends on how severe the problem is? As system takes more time to recover from failures, maintenance cost goes on increasing, it also causes loss of processing cycles. To deal with such type of loss, the information at various nodes in network is collected and verification...
Diagnosis is a main requirement in the industrial. In this paper we focus on hybrid dynamic system. HDS combines continuous and discrets behaviors. The aim is the implementation of a fault diagnostic tool using hybrid automata. We focus in this part in modelisation. This approach is implemented on heating filling system.
Due to its simple construction, low cost, manufacture, and its robustness. The use of induction motors is rapidly and increasingly growing in the industry especially in highly important sectors. This leads us to a serious focus on their operation and their availability. The early detection for motor deterioration can increase plant availability and safety in economical way, help to avoid expensive...
Previously, a minimal algorithm of length 70 N, N is the number of memory bits, was proposed for a subclass of dynamic faults. In this paper, a March-based fault location and full diagnosis algorithm of complexity 88 N+29 is proposed for the same subclass of dynamic faults in bit-oriented SRAMs.
An on line monitoring and diagnosis system for a modern power plant is essential as hydropower turbine failures are rarely single mode events. Normally, hydropower turbine deterioration is a slow process involving many factors. Cavitations are most severe, eventually forcing a shutdown for repair of affected parts. Cavitations phenomenon in an operating turbine are ubiquitous and unpredictable, and...
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