A novel demodulator design for signal processing of inductive oil debris sensors

Wang, Guan, Wu, Xianwei, Qian, Zhenghua, Liu, Dianzi, Li, Peng and Kuznetsova, Iren (2024) A novel demodulator design for signal processing of inductive oil debris sensors. Measurement Science and Technology, 36 (1). ISSN 0957-0233

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Abstract

Metal debris resulting from bearing wear in the lubrication system of aircraft engines carries valuable information, which can be utilized to assess the current engine condition and further enable the life-cycle prediction. The demodulation of debris signals consists of two parts: mixing and filtering. In traditional methods, the mixing process is complex to adjust and prone to failure, while the filtering employs the fixed low-pass filtering, which significantly affects the demodulation performance when the debris flow rate changes. To address these issues, this paper proposes a novel demodulation model to enhance the demodulation performance and increase the signal-to-noise ratio of chip signals. Firstly, the circuit innovatively employs a self-frequency mixing method (SFM), eliminating the need for the complex phase adjustments required by traditional reference-frequency mixing methods, thereby enhancing circuit stability. Following that, a digital potentiometer is employed to implement the flow rate filtering, enabling precise control over the filter type and range, thus mitigating signal distortion caused by changes in flow rate and increasing the signal-to-noise ratio. Throughout extensive experiments and data analysis, the SFM improves the signal-to-noise ratio by 0.72 dB and reduces the signal standard deviation by 59.12% as compared to the reference-frequency mixing method. Considering the debris flow rate in the range of 0.2–0.5 m s−1, the flow rate filtering method improves the signal-to-noise ratio by 19.71 dB and reduces the amplitude standard deviation by 66.18%, as compared to results by the traditional fixed low-pass filtering method. Results demonstrate that the aforementioned circuit design effectively enhances the signal amplitude and stability of inductive oil debris sensors in the wear assessment of mechanical systems and provides useful insights into the development of advanced sensors used in the field of structural health monitoring.

Item Type:	Article
Additional Information:	Data availability statement: The data that support the findings of this study are available upon reasonable request from the authors. Funding information: This work was supported by the National Key Research and Development Program of China (2023YFE0111000), National Natural Science Foundation of China (12172171, 12372151), National Natural Science Foundation of Jiangsu Province (BK20211176), and Shenzhen Science and Technology Program (JCYJ20230807142004009).
Faculty \ School:	Faculty of Science > School of Engineering, Mathematics and Physics
UEA Research Groups:	Faculty of Science > Research Groups > Sustainable Energy Faculty of Science > Research Groups > Materials, Manufacturing & Process Modelling
Depositing User:	LivePure Connector
Date Deposited:	29 Oct 2024 10:30
Last Modified:	20 Nov 2024 11:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/97290
DOI:	10.1088/1361-6501/ad894a

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