Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system
Failure prognosis is the key point of prognostic and health management or condition-based maintenance, the multiple uncertainty sources in real world will lead to inaccurate prediction. In this paper, an advanced failure prognosis method with Kalman filter is presented to address the real-world unce...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2016-09-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814016671445 |
| _version_ | 1828876876101189632 |
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| author | Jie Chen Cunbao Ma Dong Song Bin Xu |
| author_facet | Jie Chen Cunbao Ma Dong Song Bin Xu |
| author_sort | Jie Chen |
| collection | DOAJ |
| description | Failure prognosis is the key point of prognostic and health management or condition-based maintenance, the multiple uncertainty sources in real world will lead to inaccurate prediction. In this paper, an advanced failure prognosis method with Kalman filter is presented to address the real-world uncertainties. The multiple uncertainty sources are analyzed and classified first and then theoretical methods are derived, respectively, for the different uncertainty sources. Afterward, the failure prognosis algorithm is developed by taking into consideration. In the end, an aircraft fuel feeding system health monitoring case simulation is presented to demonstrate the effectiveness of the proposed method. |
| first_indexed | 2024-12-13T08:30:50Z |
| format | Article |
| id | doaj.art-003aad48699d455da14ab7532e17c3c2 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-13T08:30:50Z |
| publishDate | 2016-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-003aad48699d455da14ab7532e17c3c22022-12-21T23:53:46ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-09-01810.1177/1687814016671445Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel systemJie Chen0Cunbao Ma1Dong Song2Bin Xu3School of Aeronautics, Northwestern Polytechnical University, Xi’an, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an, ChinaFailure prognosis is the key point of prognostic and health management or condition-based maintenance, the multiple uncertainty sources in real world will lead to inaccurate prediction. In this paper, an advanced failure prognosis method with Kalman filter is presented to address the real-world uncertainties. The multiple uncertainty sources are analyzed and classified first and then theoretical methods are derived, respectively, for the different uncertainty sources. Afterward, the failure prognosis algorithm is developed by taking into consideration. In the end, an aircraft fuel feeding system health monitoring case simulation is presented to demonstrate the effectiveness of the proposed method.https://doi.org/10.1177/1687814016671445 |
| spellingShingle | Jie Chen Cunbao Ma Dong Song Bin Xu Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system Advances in Mechanical Engineering |
| title | Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system |
| title_full | Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system |
| title_fullStr | Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system |
| title_full_unstemmed | Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system |
| title_short | Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system |
| title_sort | failure prognosis of multiple uncertainty system based on kalman filter and its application to aircraft fuel system |
| url | https://doi.org/10.1177/1687814016671445 |
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