Precise oil debris detection using a four-coil inductive sensor with compensation circuit and Wiener filtering

Wang, G ORCID: 0009-0000-9309-1754, Qian, Z ORCID: 0000-0003-3400-8361, Liu, Y, Zhang, G ORCID: 0000-0002-2351-2661, Li, P and Liu, D (2025) Precise oil debris detection using a four-coil inductive sensor with compensation circuit and Wiener filtering. Measurement, 259. p. 119577. ISSN 0263-2241

Text Accetpted Ms submission MEAS-D-25-11374.pdf - Accepted Version Access Restricted until 3 November 2026. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB)

Abstract

To mitigate the issues including structural asymmetry, high background noise, and environmental interference in the design of traditional inductive oil debris sensors for structural defect inspection, this study presents an innovative four-coil inductive sensor, which synergizes a voltage mutual inductance compensation circuit and a cyclic sampling Wiener filtering algorithm to improve the signal-to-noise ratio (SNR) in debris detection. Experimental results show that the proposed approach enhances the SNR originated from the structural, hardware, and algorithm perspectives, achieving improvements of 6.02 dB, 5.66 dB, and 9.89 dB, respectively. This novel inductive sensor with remarkable features demonstrates high efficiency in detecting small-scale debris and offers potential in substantial applications for oil debris detection and equipment maintenance in the field of structural health monitoring.

Item Type:	Article
Uncontrolled Keywords:	0102 Applied Mathematics; 0801 Artificial Intelligence and Image Processing; 0913 Mechanical Engineering; Electrical & Electronic Engineering; 46 Information and computing sciences; 49 Mathematical sciences
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Engineering
Publisher:	Elsevier
Date of acceptance:	31 October 2025
Date Deposited:	14 Nov 2025 14:08
Last Modified:	14 Nov 2025 14:15
DOI or ID number:	10.1016/j.measurement.2025.119577
URI:	https://researchonline.ljmu.ac.uk/id/eprint/27565

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