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Rescaled range analysis of service load data

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Title Rescaled range analysis of service load data
 
Creator RATHANRAJ, KJ
SRIVIDYA, A
VERMA, AK
RAMAN, R
MANNIKAR, AV
PANKHAWALA, VA
 
Subject fractional gaussian noises
computer experiments
dependence
service load
road load data acquisition
hurst exponent
 
Description Recent advances in data acquisition, storing, and recording technology are allowing increasingly detailed samplings of actual customer usage of product. Because of this, laboratories are coming forward to use the actual road data rather than Simulated data or data collected from the proving ground. This research work is ail attempt to find a representative length of data (short-term data) from the large-distance data (long-term data). For any particular class of vehicle, finding the short-term data, which are representative of long-term data, will avoid the collection of large-distance data in the future. In this paper, using the Hurst methodology ail attempt have been made to find the short-term data that have to be collected, so as to be representative of the long-term data. In this Study, data have been collected both on the proving ground as well as oil ail actual road for a distance of 1700 km on a light commercial vehicle. It has been seen from the Hurst exponent that, collecting data for ail actual road length of about 200 km Would give a representation for ail actual road length of 1000 km.
 
Publisher PROFESSIONAL ENGINEERING PUBLISHING LTD
 
Date 2011-08-27T08:36:40Z
2011-12-26T12:57:49Z
2011-12-27T05:45:28Z
2011-08-27T08:36:40Z
2011-12-26T12:57:49Z
2011-12-27T05:45:28Z
2010
 
Type Article
 
Identifier PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 224(D3), 361-367
0954-4070
http://dx.doi.org/10.1243/09544070JAUTO1247
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11603
http://hdl.handle.net/10054/11603
 
Language en