Title :
The Forecast for the Wear Trend of the Diesel Engine Based on Grey Markov Chain Model
Author :
Kou Xue-zhi ; Zhang Qi-yi
Author_Institution :
Transp. Command Dept., Automobile Manage. Inst. of PLA, Bengbu, China
Abstract :
Based on grey method of the forecast for wear trend of the diesel engine, the Markov chains is presented, so the grey Markov model for predicting the wear trend of the diesel engine is built in this paper. The model is felled together two kind of inherent quality of time list data organically since evolvement rules is mined from time list data and random response is attained through state transfer probability matrix, which make it more scientific and rigorous. So it opens up application area of grey prediction. The example shows that the precision of grey Markov chains for predicting the trend is better than that of grey model.
Keywords :
Markov processes; diesel engines; forecasting theory; grey systems; matrix algebra; wear; diesel engine based; forecast wear trend; grey Markov chain model; inherent quality time; state transfer probability matrix; Automobiles; Computational intelligence; Demand forecasting; Diesel engines; Pistons; Prediction methods; Predictive models; Programmable logic arrays; Transportation; Vehicle dynamics; Diesel Engine; Grey model; Markov Chains; Prediction; Wear Trend;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.79
