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Debris Recognition Methods in the Lubrication System with Electrostatic Sensors

机译:静电传感器润滑系统中的碎屑识别方法

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The oil-line electrostatic sensor (OLS) is a developing debris monitoring sensor. Previous work has shown that electrostatic charge signals can indicate the debris by calculating the Root Mean Square (RMS) value or the correlation-based indicator, but the precision of these methods is not high. This paper further developed the more accurate methods to obtain detailed debris information. Firstly, to interpret the monitoring principle of OLS and provide the guidance for developing the debris recognition methods, this paper analyzed the possible charge sources in the lubrication system and obtained the characteristics of the OLS by establishing its mathematical model. Further, a new OLS test rig was designed and verified the correctness of the sensor’s characteristics and its mathematical model. Based on the characteristics of the sensor, two new debris recognition methods were proposed. Finally, the effects of the new debris recognition methods were verified by the practical industrial gearbox bench test. Results showed that, compared to the traditional methods, the new methods could recognize the debris effectively and provide more detailed information of the debris.
机译:油线静电传感器(OLS)是一种正在发展的碎片监控传感器。先前的工作表明,静电荷信号可以通过计算均方根(RMS)值或基于相关性的指示符来指示碎片,但是这些方法的精度不高。本文进一步开发了更准确的方法来获取详细的碎片信息。首先,为了解释OLS的监测原理并为开发碎屑识别方法提供指导,本文分析了润滑系统中可能存在的电荷源,并通过建立OLS的数学模型获得了OLS的特性。此外,设计了一种新的OLS测试台,并验证了传感器特性及其数学模型的正确性。根据传感器的特点,提出了两种新的碎片识别方法。最后,通过实用的工业齿轮箱台架试验验证了新碎片识别方法的效果。结果表明,与传统方法相比,新方法可以有效地识别碎片,并提供更详细的碎片信息。

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