Abstract: Slope's deformation stability has been a pressing issue in civil engineering. A large number of studies have shown that it is accurate to predict slope deformation using measured displacement-time series. But de-noising of data is needed because of errors caused by external factors. In the present paper we put forward a time shift wavelet coefficient correlation de-noising and wavelet-MGM(1, n) model. The model is based on time shift wavelet theory and gray theory. The slope displacement data of Jinping first stage hydropower station is taken as an example. Through decomposition and reconstruction of wavelet scale coefficients and approximation coefficients, the real signal is simulated, and the slope elevation-displacement curve is predicted. Validation proves that the prediction curve is very close to the measured curve.

Key words: slope stability, wavelet analysis, de-noising processing, grey theory, data processing