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Fuzzy modelling of wagon wheel unloading due to longitudinal impact forces
In this paper a fuzzy model is developed to predict wagon wheel unloading due to wagon body and bogie pitch modes induced by longitudinal impact forces. Data was obtained using the wagon dynamics simulation package, VAMPIRE/spl reg/, with a wagon model typical of wagons in Australian freight service...
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creator | Stonier, R.J. Kuppa, S. Thomas, P.J. Cole, C. |
description | In this paper a fuzzy model is developed to predict wagon wheel unloading due to wagon body and bogie pitch modes induced by longitudinal impact forces. Data was obtained using the wagon dynamics simulation package, VAMPIRE/spl reg/, with a wagon model typical of wagons in Australian freight service. Simulations were completed for 31 states of wagon body mass from empty to maximum load, 8 to 62 tonne and 31 states of longitudinal force were applied making 961 scenarios. Four 2-input 1-output fuzzy systems were developed to predict wheel unloading for each axle using wagon mass and the impact force magnitude as inputs. A cooperative co-evolutionary algorithm was used to determine a complete set fuzzy rules for this system together with defining fuzzy set definitions. The fuzzy model produced was then evaluated for its suitability as a predictive model. |
doi_str_mv | 10.1109/RRCON.2005.186055 |
format | conference_proceeding |
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Data was obtained using the wagon dynamics simulation package, VAMPIRE/spl reg/, with a wagon model typical of wagons in Australian freight service. Simulations were completed for 31 states of wagon body mass from empty to maximum load, 8 to 62 tonne and 31 states of longitudinal force were applied making 961 scenarios. Four 2-input 1-output fuzzy systems were developed to predict wheel unloading for each axle using wagon mass and the impact force magnitude as inputs. A cooperative co-evolutionary algorithm was used to determine a complete set fuzzy rules for this system together with defining fuzzy set definitions. 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Data was obtained using the wagon dynamics simulation package, VAMPIRE/spl reg/, with a wagon model typical of wagons in Australian freight service. Simulations were completed for 31 states of wagon body mass from empty to maximum load, 8 to 62 tonne and 31 states of longitudinal force were applied making 961 scenarios. Four 2-input 1-output fuzzy systems were developed to predict wheel unloading for each axle using wagon mass and the impact force magnitude as inputs. A cooperative co-evolutionary algorithm was used to determine a complete set fuzzy rules for this system together with defining fuzzy set definitions. The fuzzy model produced was then evaluated for its suitability as a predictive model.</description><subject>Australia</subject><subject>Axles</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Informatics</subject><subject>Loading</subject><subject>Rails</subject><subject>Vehicle dynamics</subject><subject>Vehicles</subject><subject>Wheels</subject><issn>1559-9531</issn><issn>2160-1380</issn><isbn>0791837521</isbn><isbn>9780791837528</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjF1rwjAYhcM-YJ3zB4zd5A_UvW9j3iSXQ6bbkAnivaRJ2nXERmyL6K-fYzs3B57Dcxh7RJgggnler2erz0kBICeoCaS8YlmBBDkKDdfsHpRBLZQs8IZlKKXJjRR4x8Zd9w2XCEMgMGMf8-F8PvFd8iHGpq15qvjR1qnlx68QIh_amKz_HfwQeJ94TG3d9MMF2cib3d66nlfp4EL3wG4rG7sw_u8R28xfN7O3fLlavM9elnlDQuaSUHrpDKqgCCk4UQASgVdW67IqK6OoLIRGcMEp7zVhOXWERil7UUGM2NPfbRNC2O4Pzc4eTlucEmg04gc2DE5Q</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Stonier, R.J.</creator><creator>Kuppa, S.</creator><creator>Thomas, P.J.</creator><creator>Cole, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>Fuzzy modelling of wagon wheel unloading due to longitudinal impact forces</title><author>Stonier, R.J. ; Kuppa, S. ; Thomas, P.J. ; Cole, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i635-5615d5c917e7616ec3201660d7a88bfbf976b23810cec7dd861b4c61977a61503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Australia</topic><topic>Axles</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Informatics</topic><topic>Loading</topic><topic>Rails</topic><topic>Vehicle dynamics</topic><topic>Vehicles</topic><topic>Wheels</topic><toplevel>online_resources</toplevel><creatorcontrib>Stonier, R.J.</creatorcontrib><creatorcontrib>Kuppa, S.</creatorcontrib><creatorcontrib>Thomas, P.J.</creatorcontrib><creatorcontrib>Cole, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stonier, R.J.</au><au>Kuppa, S.</au><au>Thomas, P.J.</au><au>Cole, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fuzzy modelling of wagon wheel unloading due to longitudinal impact forces</atitle><btitle>Proceedings of the 2005 ASME/IEEE Joint Rail Conference, 2005</btitle><stitle>RRCON</stitle><date>2005</date><risdate>2005</risdate><spage>59</spage><epage>64</epage><pages>59-64</pages><issn>1559-9531</issn><eissn>2160-1380</eissn><isbn>0791837521</isbn><isbn>9780791837528</isbn><abstract>In this paper a fuzzy model is developed to predict wagon wheel unloading due to wagon body and bogie pitch modes induced by longitudinal impact forces. Data was obtained using the wagon dynamics simulation package, VAMPIRE/spl reg/, with a wagon model typical of wagons in Australian freight service. Simulations were completed for 31 states of wagon body mass from empty to maximum load, 8 to 62 tonne and 31 states of longitudinal force were applied making 961 scenarios. Four 2-input 1-output fuzzy systems were developed to predict wheel unloading for each axle using wagon mass and the impact force magnitude as inputs. A cooperative co-evolutionary algorithm was used to determine a complete set fuzzy rules for this system together with defining fuzzy set definitions. The fuzzy model produced was then evaluated for its suitability as a predictive model.</abstract><pub>IEEE</pub><doi>10.1109/RRCON.2005.186055</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Australia Axles Fuzzy sets Fuzzy systems Informatics Loading Rails Vehicle dynamics Vehicles Wheels |
title | Fuzzy modelling of wagon wheel unloading due to longitudinal impact forces |
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