journal article·2024-06-25Open access

A Wear Debris Signal Processing Method Based on Inductive Monitoring for Aero-Engine

Heng Jiang, Hongfu Zuo, Zhirong Zhong, Jiachen Guo

Applied Sciences· Volume 14· Issue 13

Abstract

In view of the high false alarm rate in the oil debris monitoring results of the triple-coil inductive sensor in the transmission lubrication system of the aero-engine, a new debris signal processing method based on inductive monitoring is proposed. A time domain analysis is carried out first, and the signal energy is the most effective index to distinguish the debris signature from the noise signature. On this basis, signal energy values within a fixed-length sliding window is processed through the histogram. Finally, a threshold is set for the detection of the debris signature, which is based on the distribution of data within the histogram. This method is applied to the experimental data from a test run of an aero-engine, and the results show that all the debris is detected even if part of it appears during a change in the working condition of the aero-engine. Therefore, this method shows satisfactory results in debris detection accuracy and especially the inhibition of false alarms. It is also applicable for real-time monitoring due to the similarity between the movement of the sliding window and real-time data acquisition. In addition, it is applicable for various sensing principles, including but not limited to the inductive sensor signal, since the detection performance is only related to the signal itself.
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Research context

OpenAlex topics: Lubricants and Their Additives · Gear and Bearing Dynamics Analysis · Advanced Sensor Technologies Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

School of Future Technology, Xi’an Jiaotong University, Xi’an 710049, China

Airworthiness Certification Center, Civil Aviation Administration of China, Beijing 100102, China

Funding

National Natural Science Foundation of China

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