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An ultrasonic evaluation for degradation of insulating oil using fuzzy inference

机译:模糊推理绝缘油劣化的超声评估

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Periodic inspection for degradation of insulating oil in transformers requires from preventing outage. However, conventional methods were not suitable for that, due to large size of the measurement system and requirement of sampling. This study aims to develop ultrasonic evaluation system satisfying these requirements aided by fuzzy interference. The system evaluates degradation, and it estimates kinetic viscosity. In the experiment, we applied our method into six kinds of insulating oils. As a result, correlation coefficient between our estimation and viscometer were over 0.92. thus, our method correctly determines degradation of insulating oil.
机译:定期检查变压器中绝缘油降解需要防止中断。然而,由于测量系统的大尺寸和采样要求,常规方法不适合于此。本研究旨在通过模糊干扰来开发满足这些要求的超声评估系统。系统评估劣化,估计动力学粘度。在实验中,我们将我们的方法应用于六种绝缘油。结果,我们的估计和粘度计之间的相关系数超过0.92。因此,我们的方法正确地确定了绝缘油的劣化。

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