Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique
Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hazarika, Durlav [verfasserIn] Barman, Jyoti Kumar [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of the Institution of Engineers (India) - [New Delhi] : Springer India, 2012, 101(2020), 6 vom: 23. Sept., Seite 667-675 |
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| Übergeordnetes Werk: |
volume:101 ; year:2020 ; number:6 ; day:23 ; month:09 ; pages:667-675 |
| Links: |
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| DOI / URN: |
10.1007/s40031-020-00489-y |
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| Katalog-ID: |
SPR042190010 |
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| 520 | |a Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. | ||
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10.1007/s40031-020-00489-y doi (DE-627)SPR042190010 (DE-599)SPRs40031-020-00489-y-e (SPR)s40031-020-00489-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Hazarika, Durlav verfasserin aut Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. Mathematical modelling (dpeaa)DE-He213 Gray-box modelling (dpeaa)DE-He213 Pulse excitation (dpeaa)DE-He213 Vibration (dpeaa)DE-He213 Barman, Jyoti Kumar verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 101(2020), 6 vom: 23. Sept., Seite 667-675 (DE-627)722236980 (DE-600)2677588-8 2250-2114 nnns volume:101 year:2020 number:6 day:23 month:09 pages:667-675 https://dx.doi.org/10.1007/s40031-020-00489-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 101 2020 6 23 09 667-675 |
| spelling |
10.1007/s40031-020-00489-y doi (DE-627)SPR042190010 (DE-599)SPRs40031-020-00489-y-e (SPR)s40031-020-00489-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Hazarika, Durlav verfasserin aut Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. Mathematical modelling (dpeaa)DE-He213 Gray-box modelling (dpeaa)DE-He213 Pulse excitation (dpeaa)DE-He213 Vibration (dpeaa)DE-He213 Barman, Jyoti Kumar verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 101(2020), 6 vom: 23. Sept., Seite 667-675 (DE-627)722236980 (DE-600)2677588-8 2250-2114 nnns volume:101 year:2020 number:6 day:23 month:09 pages:667-675 https://dx.doi.org/10.1007/s40031-020-00489-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 101 2020 6 23 09 667-675 |
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10.1007/s40031-020-00489-y doi (DE-627)SPR042190010 (DE-599)SPRs40031-020-00489-y-e (SPR)s40031-020-00489-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Hazarika, Durlav verfasserin aut Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. Mathematical modelling (dpeaa)DE-He213 Gray-box modelling (dpeaa)DE-He213 Pulse excitation (dpeaa)DE-He213 Vibration (dpeaa)DE-He213 Barman, Jyoti Kumar verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 101(2020), 6 vom: 23. Sept., Seite 667-675 (DE-627)722236980 (DE-600)2677588-8 2250-2114 nnns volume:101 year:2020 number:6 day:23 month:09 pages:667-675 https://dx.doi.org/10.1007/s40031-020-00489-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 101 2020 6 23 09 667-675 |
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10.1007/s40031-020-00489-y doi (DE-627)SPR042190010 (DE-599)SPRs40031-020-00489-y-e (SPR)s40031-020-00489-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Hazarika, Durlav verfasserin aut Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. Mathematical modelling (dpeaa)DE-He213 Gray-box modelling (dpeaa)DE-He213 Pulse excitation (dpeaa)DE-He213 Vibration (dpeaa)DE-He213 Barman, Jyoti Kumar verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 101(2020), 6 vom: 23. Sept., Seite 667-675 (DE-627)722236980 (DE-600)2677588-8 2250-2114 nnns volume:101 year:2020 number:6 day:23 month:09 pages:667-675 https://dx.doi.org/10.1007/s40031-020-00489-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 101 2020 6 23 09 667-675 |
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Enthalten in Journal of the Institution of Engineers (India) 101(2020), 6 vom: 23. Sept., Seite 667-675 volume:101 year:2020 number:6 day:23 month:09 pages:667-675 |
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Hazarika, Durlav @@aut@@ Barman, Jyoti Kumar @@aut@@ |
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Hazarika, Durlav |
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Hazarika, Durlav ddc 620 misc Mathematical modelling misc Gray-box modelling misc Pulse excitation misc Vibration Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique |
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620 690 ASE Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique Mathematical modelling (dpeaa)DE-He213 Gray-box modelling (dpeaa)DE-He213 Pulse excitation (dpeaa)DE-He213 Vibration (dpeaa)DE-He213 |
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development of a mathematical model for a railway track using a gray-box modelling technique |
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Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique |
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Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. |
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Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. |
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Abstract Mathematical model of a system provides the relationship between the input and the output variables. There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train. |
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Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique |
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There are different methods of modelling a system, viz. utilising system dynamics, black box modelling and gray-box modelling. In literature, there are many works that describe modelling of a railway track using the system dynamics of a track or interaction between track and train wheel. In standard black-box modelling, most of the time standard test signals such as impulse and step are used to model a system. In this paper, a simple method is described that uses “system subjected to a pulse input” to model a system. This approach is very helpful especially in modelling of a railway track as the track may be subjected to an impulse, step or any signal (i.e. pulse of variable length) in between depending on the speed of the train.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical modelling</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gray-box modelling</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pulse excitation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vibration</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barman, Jyoti Kumar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of the Institution of Engineers (India)</subfield><subfield code="d">[New Delhi] : Springer India, 2012</subfield><subfield code="g">101(2020), 6 vom: 23. 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