HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING
A method based on Weibull distribution and GG fuzzy clustering is studied and proposed in order to solve the issue of healthy condition recognition for quayside container crane（QCC） reducer. Using envelope method to denoise data which caused by the complexity conditions firstly. Then the scale param...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2019-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.05.002 |
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| author | HOU MeiHui HU Xiong WANG Bing ZHAGN BoYi |
| author_facet | HOU MeiHui HU Xiong WANG Bing ZHAGN BoYi |
| author_sort | HOU MeiHui |
| collection | DOAJ |
| description | A method based on Weibull distribution and GG fuzzy clustering is studied and proposed in order to solve the issue of healthy condition recognition for quayside container crane（QCC） reducer. Using envelope method to denoise data which caused by the complexity conditions firstly. Then the scale parameters and shape parameters are created using Weibull distribution fitting, which could show change characteristics of collected samples quantitatively. In order to recognize the reducer condition further, the GG fuzzy clustering method is used to divide the different stages of the healthy condition, realizing recognition for reducer healthy. Test data from NetCMAS system is adopted in living analysis, FCM and GK clustering algorithm are analyzed for contrast. The results show that the method proposed in this paper is effective and has better clustering effect. |
| format | Article |
| id | doaj-art-cf71f620dd874bf89a7da8cbf126727b |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-cf71f620dd874bf89a7da8cbf126727b2025-01-15T02:29:07ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692019-01-01411023102830605698HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERINGHOU MeiHuiHU XiongWANG BingZHAGN BoYiA method based on Weibull distribution and GG fuzzy clustering is studied and proposed in order to solve the issue of healthy condition recognition for quayside container crane（QCC） reducer. Using envelope method to denoise data which caused by the complexity conditions firstly. Then the scale parameters and shape parameters are created using Weibull distribution fitting, which could show change characteristics of collected samples quantitatively. In order to recognize the reducer condition further, the GG fuzzy clustering method is used to divide the different stages of the healthy condition, realizing recognition for reducer healthy. Test data from NetCMAS system is adopted in living analysis, FCM and GK clustering algorithm are analyzed for contrast. The results show that the method proposed in this paper is effective and has better clustering effect.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.05.002Quayside container crane reducerWeibull distributionGG fuzzy clusteringCondition recognition |
| spellingShingle | HOU MeiHui HU Xiong WANG Bing ZHAGN BoYi HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING Jixie qiangdu Quayside container crane reducer Weibull distribution GG fuzzy clustering Condition recognition |
| title | HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING |
| title_full | HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING |
| title_fullStr | HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING |
| title_full_unstemmed | HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING |
| title_short | HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING |
| title_sort | healthy condition recognition for quayside container crane reducer based on weibull and gg fuzzy clustering |
| topic | Quayside container crane reducer Weibull distribution GG fuzzy clustering Condition recognition |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.05.002 |
| work_keys_str_mv | AT houmeihui healthyconditionrecognitionforquaysidecontainercranereducerbasedonweibullandggfuzzyclustering AT huxiong healthyconditionrecognitionforquaysidecontainercranereducerbasedonweibullandggfuzzyclustering AT wangbing healthyconditionrecognitionforquaysidecontainercranereducerbasedonweibullandggfuzzyclustering AT zhagnboyi healthyconditionrecognitionforquaysidecontainercranereducerbasedonweibullandggfuzzyclustering |