基于Labview的船舶仿真电路故障诊断程序

Pei Sheng, Heng Li, Liming Chen, Qingjiang Wang
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引用次数: 0

摘要

我军部分舰艇的装备中有很多可调部件,通过人工调节可以使关键参数达到指标要求。为此,设计了一套有针对性的故障特征提取算法和故障分类方法,并利用Labview完成了程序的开发。软件采用虚拟示波器完成信号采集,局部特征尺度分解和分形盒维数算法完成故障特征提取,概率神经网络完成故障分类判定。最后,以某电路的典型故障状态为例,利用该软件进行故障类别的判断。结果表明,该软件能够有效地处理多点连续超差情况下的故障状态识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault diagnosis program of ship simulation circuit based on Labview
There are a lot of adjustable components in the equipment of some ships of our army, which can make the key parameters meet the requirements of the indexes by means of artificial adjustment. To this end, a set of targeted fault feature extraction algorithm and fault classification method is designed, and Labview is used to complete the development of the program. The software USES virtual oscilloscope to complete signal acquisition, local characteristic scale decomposition and fractal box dimension algorithm to complete fault feature extraction, and probabilistic neural network to complete fault classification determination. Finally, taking the typical fault state of a circuit as an example, this software is used to judge the fault category. The results show that the software can effectively deal with fault state recognition in the case of multi-point continuous out-of-tolerance.
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