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Modern and future real-time control systems must address several, and sometimes conflicting issues: functional and temporal predictability, fault tolerance, reliability, dependability and maintainability. For each of these issues, specific techniques and methods should be developed from the early stages of design process, in order to maximize as much as possible the probability of timely execution even in the presence of faults [5]. Diagnosis time it is known to be an important element of Mean Down Time (MDT). Consequently, it is essential to control the characteristic values in the most important points of a real time automatic control system [1]. Proposed Diagnosis Method A diagnosis strategy is illustrated further, considering the electric power plant as a part of the Oradea geothermal system. The geothermal power plant is a component of the cascaded geothermal energy utilization system, and is used to convert the energy of the geothermal water into electrical energy using CO 2 as working fluid. For system failure detection, two principles are used: 1 any sub-system from the functional system for which the output temperature is not in the frame of admissible limits is potentially failed, 2 in a chain of successive failed sub-systems, the failure is associated to the first sub-system from the chain. Subsystem Level For illustrating the sub-system diagnosis strategy, we assume the conditions of S2 scenario, where failure were localized at vaporizers level [2]. Consequently, the diagnosis procedure continues at subsequent level: the vaporizers level.
Tags : geothermal power plant, real time control, time control systems, automatic diagnosis, diagnosis procedure, real time control systems, system diagnosis, timely execution, failure detection, geothermal water, characteristic values, utilization system, fault tolerance, subsystem level, functional system
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