The characteristics of the continuous wavelet transform scalogram of the aeroengine vibration signal could show the fault symptomatic in the 2-dimensional space and identify the rub-impact fault of the aeroengine. In order to get the precise feature for fault analysis, the statistical features of the scalogram which incorporated the Tamura vision features were proposed to diagnose the aeroengine rub-impact faults quantitatively. The experiments on the aeroengine test data demonstrate these statistic characteristics of the scalogram effectively diagnose the rub-impact faults.

Aiming at the deficiency of large volume and complex installation monitoring system the traditional character recognition system, this paper proposes a character recognition scheme of Android intelligent terminal based on. This paper introduces the whole structure of the system, through the analysis and Research on the character recognition process, introduces the overall design process and recognition system, character recognition system client.