Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure
Research on fault detection algorithm was developed with the similarity measure and random forest algorithm. The organized algorithm was applied to unmanned aircraft vehicle (UAV) that was readied by us. Similarity measure was designed by the help of distance information, and its usefulness was also...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/727359 |
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| _version_ | 1832548485228920832 |
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| author | Sanghyuk Lee Wookje Park Sikhang Jung |
| author_facet | Sanghyuk Lee Wookje Park Sikhang Jung |
| author_sort | Sanghyuk Lee |
| collection | DOAJ |
| description | Research on fault detection algorithm was developed with the similarity measure and random forest algorithm. The organized algorithm was applied to unmanned aircraft vehicle (UAV) that was readied by us. Similarity measure was designed by the help of distance information, and its usefulness was also verified by proof. Fault decision was carried out by calculation of weighted similarity measure. Twelve available coefficients among healthy and faulty status data group were used to determine the decision. Similarity measure weighting was done and obtained through random forest algorithm (RFA); RF provides data priority. In order to get a fast response of decision, a limited number of coefficients was also considered. Relation of detection rate and amount of feature data were analyzed and illustrated. By repeated trial of similarity calculation, useful data amount was obtained. |
| format | Article |
| id | doaj-art-a977ffe4b953466ab31b920fc43612d8 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-a977ffe4b953466ab31b920fc43612d82025-02-03T06:13:58ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/727359727359Fault Detection of Aircraft System with Random Forest Algorithm and Similarity MeasureSanghyuk Lee0Wookje Park1Sikhang Jung2Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, ChinaAviation Technical Division, Aviation Safety Technology Center, 557 Yongyu-ro, Jung-gu, Incheon 400-420, Republic of KoreaDepartment of Aerospace, Automobile & Mechanical Engineering, Chung Cheong University, 38 Wolgok-Gil, Gangnae-Myeon, Cheongwon-Gun, Chungcheongbuk-Do 363-792, Republic of KoreaResearch on fault detection algorithm was developed with the similarity measure and random forest algorithm. The organized algorithm was applied to unmanned aircraft vehicle (UAV) that was readied by us. Similarity measure was designed by the help of distance information, and its usefulness was also verified by proof. Fault decision was carried out by calculation of weighted similarity measure. Twelve available coefficients among healthy and faulty status data group were used to determine the decision. Similarity measure weighting was done and obtained through random forest algorithm (RFA); RF provides data priority. In order to get a fast response of decision, a limited number of coefficients was also considered. Relation of detection rate and amount of feature data were analyzed and illustrated. By repeated trial of similarity calculation, useful data amount was obtained.http://dx.doi.org/10.1155/2014/727359 |
| spellingShingle | Sanghyuk Lee Wookje Park Sikhang Jung Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure The Scientific World Journal |
| title | Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure |
| title_full | Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure |
| title_fullStr | Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure |
| title_full_unstemmed | Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure |
| title_short | Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure |
| title_sort | fault detection of aircraft system with random forest algorithm and similarity measure |
| url | http://dx.doi.org/10.1155/2014/727359 |
| work_keys_str_mv | AT sanghyuklee faultdetectionofaircraftsystemwithrandomforestalgorithmandsimilaritymeasure AT wookjepark faultdetectionofaircraftsystemwithrandomforestalgorithmandsimilaritymeasure AT sikhangjung faultdetectionofaircraftsystemwithrandomforestalgorithmandsimilaritymeasure |