Study on Fault Analysis of Rotor Machinery Using Lyapunov Exponent-Fractal Dimension

Bingcheng Wang, Z. Ren, Rongtao Hou
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引用次数: 1

Abstract

The time series of rotor system are tested under 3 different working conditions in this paper, which respectively calculates the largest Lyapunov exponent and general dimension, and analyzes and studies these two characteristic quantities. The study results show that: the Lyapunov exponent and general dimension of the time series for rotor system under different working conditions are different. Therefore, "Lyapunov exponent - general dimension" is proposed to act as the quantitative characterization of the fault diagnosis for rotor system, which can diagnose and monitor the mechanical faults of rotor system. The study also opens up an effective way for diagnosis.
基于李雅普诺夫指数-分形维数的转子机械故障分析研究
本文对转子系统的时间序列在3种不同工况下进行了测试,分别计算了最大李雅普诺夫指数和一般维数,并对这两个特征量进行了分析研究。研究结果表明:不同工况下转子系统时间序列的李雅普诺夫指数和一般维数是不同的。为此,提出了“李雅普诺夫指数-一般维数”作为转子系统故障诊断的定量表征,可以对转子系统的机械故障进行诊断和监测。该研究也为该病的诊断开辟了一条有效的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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