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Abstract

A method to calculate the threshold of the wear particle concentration in lubricating oil was proposed, and it can also be used to predict the debris concentration in oil system. The concentration of the selected 6 elements was used as the monitoring object, and a linear weighted summation process was used to enhance numerical stability of the object value, the monitoring threshold was calculated using the Student distribution model. The computational process needs only the latest 7 $\sim$ 10 samples, so it is easy to update the monitoring threshold. The method was tested by some samples from aircraft engines and helicopter gear reducers. The test results show that the accuracy of the proposed prediction model is higher than traditional linear model. The proposed monitoring threshold algorithm can forecast wear out failure in advance.

Keywords

Wear particle concentration prediction threshold dynamic adjustment

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Fault prediction method based on linear weighted summation

Abstract

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