Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique
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 metho...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/3/866 |
| _version_ | 1798026867173752832 |
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| author | Tongyang Li Shaoping Wang Enrico Zio Jian Shi Wei Hong |
| author_facet | Tongyang Li Shaoping Wang Enrico Zio Jian Shi Wei Hong |
| author_sort | Tongyang Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T18:43:19Z |
| format | Article |
| id | doaj.art-bbb591f7c34c46b18cd83884a88c705b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:43:19Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bbb591f7c34c46b18cd83884a88c705b2022-12-22T04:08:56ZengMDPI AGSensors1424-82202018-03-0118386610.3390/s18030866s18030866Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation TechniqueTongyang Li0Shaoping Wang1Enrico Zio2Jian Shi3Wei Hong4School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, ChinaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, ChinaEnergy Department, Politecnico di Milano, Via La Masa 34, 20156 Milano, ItalySchool of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeLeakage 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.http://www.mdpi.com/1424-8220/18/3/866aviation hydraulic pumpradial magnetic fieldaliasing signal separationdegenerate unmixing estimation techniqueabrasive debris detection |
| spellingShingle | Tongyang Li Shaoping Wang Enrico Zio Jian Shi Wei Hong Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique Sensors aviation hydraulic pump radial magnetic field aliasing signal separation degenerate unmixing estimation technique abrasive debris detection |
| title | Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique |
| title_full | Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique |
| title_fullStr | Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique |
| title_full_unstemmed | Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique |
| title_short | Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique |
| title_sort | aliasing signal separation of superimposed abrasive debris based on degenerate unmixing estimation technique |
| topic | aviation hydraulic pump radial magnetic field aliasing signal separation degenerate unmixing estimation technique abrasive debris detection |
| url | http://www.mdpi.com/1424-8220/18/3/866 |
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