A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS
This paper discusses the applicability of Visibility Algorithms to detect faults in condition monitoring applications. The general purpose of Visibility Algorithms is to transform time series into graphs and study them through the characterization of their associated network. Degradation of a compon...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2019-01-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: |
| _version_ | 1797812132403740672 |
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| author | Manuel Esperon-Miguez Adrian Uriondo Jorge Rodriguez Bartolo Luque Ian K. Jennions |
| author_facet | Manuel Esperon-Miguez Adrian Uriondo Jorge Rodriguez Bartolo Luque Ian K. Jennions |
| author_sort | Manuel Esperon-Miguez |
| collection | DOAJ |
| description | This paper discusses the applicability of Visibility Algorithms to detect faults in condition monitoring applications. The general purpose of Visibility Algorithms is to transform time series into graphs and study them through the characterization of their associated network. Degradation of a component results in changes to the network. This technique has been applied using a test rig of an aircraft fuel system to show that there is a correlation between the values of key metrics of visibility graphs and the severity of four failure modes. We compare the results of using Horizontal Visibility algorithms against Natural Visibility algorithms. The results also show how the Kullback-Leibler divergence and statistical entropy can be used to produce condition indicators. Experimental results show that there is little dispersion in the values of condition indicators, leading to a low probability of false positives and false negatives. |
| first_indexed | 2024-03-13T07:33:39Z |
| format | Article |
| id | doaj.art-da83af9d35a84eaca8e4c3c111babf3f |
| institution | Directory Open Access Journal |
| issn | 2153-2648 |
| language | English |
| last_indexed | 2024-03-13T07:33:39Z |
| publishDate | 2019-01-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-da83af9d35a84eaca8e4c3c111babf3f2023-06-04T02:00:56ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482019-01-01101https://doi.org/10.36001/ijphm.2019.v10i1.2745A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMSManuel Esperon-Miguez0Adrian Uriondo1Jorge Rodriguez2Bartolo Luque3Ian K. Jennions4IVHM Centre, Cranfield University, Cranfield, MK43 0AL, United KingdomIVHM Centre, Cranfield University, Cranfield, MK43 0AL, United KingdomETSI Aeronautica y del Espacio, Universidad Politecnica de Madrid, SpainETSI Aeronautica y del Espacio, Universidad Politecnica de Madrid, SpainIVHM Centre, Cranfield University, Cranfield, MK43 0AL, United KingdomThis paper discusses the applicability of Visibility Algorithms to detect faults in condition monitoring applications. The general purpose of Visibility Algorithms is to transform time series into graphs and study them through the characterization of their associated network. Degradation of a component results in changes to the network. This technique has been applied using a test rig of an aircraft fuel system to show that there is a correlation between the values of key metrics of visibility graphs and the severity of four failure modes. We compare the results of using Horizontal Visibility algorithms against Natural Visibility algorithms. The results also show how the Kullback-Leibler divergence and statistical entropy can be used to produce condition indicators. Experimental results show that there is little dispersion in the values of condition indicators, leading to a low probability of false positives and false negatives.detection uncertaintydata driventime serieshydraulic system |
| spellingShingle | Manuel Esperon-Miguez Adrian Uriondo Jorge Rodriguez Bartolo Luque Ian K. Jennions A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS International Journal of Prognostics and Health Management detection uncertainty data driven time series hydraulic system |
| title | A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS |
| title_full | A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS |
| title_fullStr | A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS |
| title_full_unstemmed | A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS |
| title_short | A FEASIBILITY STUDY ON THE IMPLEMENTATION OF VISIBILITY ALGORITHMS FOR FAULT DIAGNOSIS IN AIRCRAFT FUEL SYSTEMS |
| title_sort | feasibility study on the implementation of visibility algorithms for fault diagnosis in aircraft fuel systems |
| topic | detection uncertainty data driven time series hydraulic system |
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