Time series of pressure signal of compressor is analyzed based on chaotic nonlinear dynamic theory, state change of compressor is studied by the reconstructed phase-space, the existence of chaos is identified by calculating the maximal Lyapunov exponent, the chaotic attractor prediction algorithm is improved and then investigated upon experimental data and locally -linear algorithm as well, the result shows the improved algorithm could reduce error by 9%.