摘要
当前锅炉风机滚动轴承故障诊断识别结构设定多为单向,诊断识别的效率较低,故障诊断次数大幅度下降,因而提出基于经验模态分解的锅炉风机滚动轴承故障诊断方法的设计与实践分析。根据当前的诊断需求,先进行故障信号特征提取,采用多目标的方式,提升诊断识别的效率,设计多目标故障识别结构,以期提高故障诊断的准确性。
The current structure for diagnosing and identifying faults in rolling bearings of boiler fans is mostly unidirectional,resulting in low diagnostic efficiency and a significant decrease in the number of fault diagnoses.Therefore,a design and practical analysis of a fault diagnosis method for rolling bearings of boiler fans based on empirical mode decomposition is proposed.Based on the current diagnostic requirements,first extract fault signal features and adopt a multi-objective approach to improve the efficiency of diagnostic recognition.Design a multi-objective fault recognition structure to improve the accuracy of fault diagnosis.
作者
赵振宇
Zhenyu Zhao(Inner Mongolia Datang International Tokto Power Plant,Hohhot,Inner Mongolia 010000)
出处
《新疆钢铁》
2024年第2期101-103,共3页
Xinjiang Iron and Steel
关键词
经验模态分解
锅炉风机
滚动轴承
故障诊断
empirical mode decomposition
boiler fan
rolling bearings
fault diagnosis
