摘要
石化齿轮箱故障信号特征之间呈现模糊性和耦合性,正常状态与异常状态之间相互影响,导致故障分类难。为解决此问题,提出一种石化齿轮箱振动信号高价值量纲一化特征提取方法。运用数据预处理方法,从采集的数据中抽取有效数据,对其进行量纲一化指标表示,再依据量纲一化指标分布规律提取高价值量纲一化特征。为保证样本的完备性,建立高价值量纲一化特征的增容模型。利用该方法能够准确提取石化齿轮箱实验机组轴承故障特征,可为石化齿轮箱特征提取提供参考。
The characteristics of petrochemical gearbox fault signals are fuzzy and coupled,and the normal state and abnormal state influence each other,which leads to the problem of difficult fault classification.In order to solve this problem,a high⁃value di⁃mensionless feature extraction method for petrochemical gearbox vibration signals was proposed.By using data preprocessing method,the valid data were extracted from the collected data,which were expressed through dimensionless indicators,and then the high⁃value dimensionless features were extracted according to the distribution law of dimensionless indicators.In order to ensure the completeness of the sample,a high⁃value dimensionless feature compatibilization model was established.By using this method,the bearing fault fea⁃tures of petrochemical gearbox experimental unit can be accurately extracted,and it can provide reference for the petrochemical gearbox feature extraction.
作者
苏乃权
张清华
胡绍林
蔡业彬
常晓筱
SU Naiquan;ZHANG Qinghua;HU Shaolin;CAI Yebin;CHANG Xiaoxiao(Guangdong Provincial Key Lab.of Petrochemical Equipment and Fault Diagnosis,Guangdong University of Petrochemical Technology,Maoming Guangdong 525000,China)
出处
《机床与液压》
北大核心
2021年第21期191-194,共4页
Machine Tool & Hydraulics
基金
国家自然科学基金面上项目(61673127
61973094)
广东省普通高校青年创新人才类项目(2019KQNCX085)
茂名市科技计划项目(201805
2020522)
广东石油化工学院博士启动项目(2020bs006)。
关键词
齿轮箱
高价值量纲一化特征提取方法
振动信号
Gearbox
High⁃value dimensionless feature extraction method
Vibration signal
