CAJ | 학술논문

特征提取是旋转机械故障分类中一个很重要的问题。为解决该问题，提出一种利用时域中已有的无量纲指标和遗传程序设计对旋转机械多类故障进行新无量纲指标提取的方法。实验结果表明，新无量纲指标比传统的无量纲指标具有更好的故障分类能力，能够对旋转机械故障进行准确分类。
특정제취시선전궤계고장분류중일개흔중요적문제。위해결해문제，제출일충이용시역중이유적무량강지표화유전정서설계대선전궤계다류고장진행신무량강지표제취적방법。실험결과표명，신무량강지표비전통적무량강지표구유경호적고장분류능력，능구대선전궤계고장진행준학분류。
Feature extraction is an important issue in rotating machinery faults classification.To solve it,we propose an approach to extract the new dimensionless parameter of multiple faults of rotating machinery using the existing dimensionless parameter in time domain and the genetic programming design.Experimental result shows that the faults classification ability of new dimensionless parameter is better than that of the existing ones,and the accurate classification of rotating machinery faults can be achieved.