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Model-aided diagnosis-a new method for online condition assessment of high voltage circuit breakers

机译:模型辅助诊断-一种高压断路器在线状态评估的新方法

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摘要

In recent years, online condition assessment of high voltage equipment is increasingly asked for by power utilities, however, most systems on the market today are merely monitoring solutions with hardly any diagnostic capabilities. This report reviews the basic principles for condition diagnosis from the field of artificial intelligence and introduces a novel strategy, named model-aided diagnosis (MAiD). It was initially developed for condition assessment of high voltage circuit breakers but is also suitable for other technical devices. Theoretical considerations as well as practical results show that MAiD is a useful strategy for condition assessment. In addition, with its low hardware requirements, it allows online condition diagnosis of high voltage circuit breakers locally by a low-cost monitoring device.
机译:近年来,电力公司日益要求对高压设备进行在线状态评估,但是,当今市场上的大多数系统仅监视几乎没有任何诊断功能的解决方案。本报告回顾了人工智能领域的状态诊断的基本原理,并介绍了一种名为模型辅助诊断(MAiD)的新颖策略。它最初是为高压断路器的状态评估而开发的,但也适用于其他技术设备。理论上的考虑和实际结果表明,MAiD是一种用于状态评估的有用策略。另外,由于其硬件要求低,它允许通过低成本监视设备在本地对高压断路器进行在线状态诊断。

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