Analytical Evaluating for Aliasing Error of Inductive Oil Debris Detection

Abstract

Oil debris monitoring is an important technique for mechanical fault diagnosis and life prediction. However, the aliasing error which comes from multiple debris through an inductive debris sensor together is difficult to be avoided. Aiming to this problem, this paper uses a segmented function to describe the behavior of debris aliasing and discusses maximum aliasing error under different debris sizes and spacings. On this basis, an optimized detection strategy is developed to reduce aliasing error. Finally, the simulation based Sine waveform is performed to validate the proposed method. The result indicates the proposed method can switch between the several strategies in different situations that it has the best performance among them.