大机组振动信号复杂性的定量描述

The Complexity Characterization of Vibration Signals ofLarge Rotating Machinery

基于非线性动力系统的复杂性刻划理论，提出用Ｋｏｌｍｏｇｏｒｏｖ复杂性测度定量评估大机组运行状态．机组运行过程中故障的发生、发展、状态的变化，将导致机组振动信号复杂性的变化．分析结果表明，Ｋｏｌｍｏｇｏｒｏｖ复杂性测度能有效地描述大机组振动信号的复杂性，可作为一定量指标用于机组运行状态监测．

In this paper a new method of quantitatively describing the running condition of large rotating machinery, based on nonlinear dynamics theory, is presented. The complexities of vibration signals change with the emergence, and growth of faults. The Kolmogorov complexity measure is used to characterize the complexity of vibration signals. Results show that the complexity measure used as a quantitative criterion can effectively monitor the running condition of machine sets.