The forecast for the engine wear trend based on grey GM(1, 1) and Markov chain model

Based on grey GM(1, 1) of the forecast for engine wear trend, the Markov chains is presented, so the grey GM(1, 1) and Markov chain model for predicting the engine wear trend 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.