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

• Published in: Applied sciences 2024-07, Vol.14 (13), p.5505
• Main Authors: Jiang, Heng, Zuo, Hongfu, Zhong, Zhirong, Guo, Jiachen
• Format: Article
• Language: English
• Subjects: Algorithms; False alarms; histogram; inductive sensors; Information storage; Kurtosis; Lubricants & lubrication; Lubricating oils; Machinery; Magnetic fields; Noise; oil debris monitoring; relative threshold; Sensors; Signal processing; sliding window; time domain analysis; Working conditions
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app14135505

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.