Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89038
Title: Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique
Authors: Li, Tongyang
Wang, Shaoping
Zio, Enrico
Shi, Jian
Hong, Wei
Keywords: Aviation Hydraulic Pump
Radial Magnetic Field
Issue Date: 2018
Source: Li, T., Wang, S., Zio, E., Shi, J., & Hong, W. (2018). Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique. Sensors, 18(3), 866-.
Series/Report no.: Sensors
Abstract: Leakage is the most important failure mode in aircraft hydraulic systems caused by wear and tear between friction pairs of components. The accurate detection of abrasive debris can reveal the wear condition and predict a system’s lifespan. The radial magnetic field (RMF)-based debris detection method provides an online solution for monitoring the wear condition intuitively, which potentially enables a more accurate diagnosis and prognosis on the aviation hydraulic system’s ongoing failures. To address the serious mixing of pipe abrasive debris, this paper focuses on the superimposed abrasive debris separation of an RMF abrasive sensor based on the degenerate unmixing estimation technique. Through accurately separating and calculating the morphology and amount of the abrasive debris, the RMF-based abrasive sensor can provide the system with wear trend and sizes estimation of the wear particles. A well-designed experiment was conducted and the result shows that the proposed method can effectively separate the mixed debris and give an accurate count of the debris based on RMF abrasive sensor detection.
URI: https://hdl.handle.net/10356/89038
http://hdl.handle.net/10220/44759
ISSN: 1424-8220
DOI: http://dx.doi.org/10.3390/s18030866
Rights: © 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
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