基于特征频点能量比的空压机喘振故障预警  

Surge Fault Warning for Air Compressors Based on Characteristic Frequency Energy Ratio

作　　者：刘磊[1] 刘均海 彭保龙 修苗苗 LIU Lei;LIU Junhai;PENG Baolong;XIU Miaomiao(School of Navigation and Shipping,Shandong Jiaotong University,Weihai 264200,China)

机构地区：[1]山东交通学院航运学院,山东威海264200

出　　处：《计算机测量与控制》2025年第2期9-15,共7页Computer Measurement &Control

基　　金：山东省自然科学基金面上项目(ZR202112040200);山东交通学院2023年校级研究生科技创新项目立项(2023YK097)。

摘　　要：随着自动化的发展,空压机应用在多工序、多场景下,对减少故障和预警提出了更高的要求;论文介绍了空压机喘振故障实验环境和步骤,采用层次分析法来优化喘振故障占权重大的指标,提出一种基于特征频点能量比的喘振故障预警方法来得到振动传感器故障预警结果,再融合优化指标预警结果来提高喘振故障预警准确率,减少故障的发生;通过实验验证:特征频点能量比相较传统预警方法更灵敏,融合优化指标后相较于振动传感器根据特征频点能量比阈值预警y 1提高了18.8%,y_(2)提高了7.7%。With the development of automation,air compressors are applied in multiple processes and scenarios,which puts forward higher requirements for reducing faults and early warning.This paper introduces the experimental environments and steps of air compressor surge faults,adopts analytic hierarchy process to optimize indicators with significant weight for surge faults,and proposes a surge fault early warning method based on the energy ratio of characteristic frequency points obtain the early warning results of vibration sensor faults,and then,integrates the early warning results of optimization indexes to improve the early warning accuracy of surge faults and reduce the occurrence of faults.Experimental results show that the characteristic frequency energy ratio of the proposed method is more sensitive than that of traditional early warning methods.After integrating optimization indexes,compared to vibration sensors,the threshold warning y 1 and y_(2)based on the energy ratio of characteristic frequency points are increased by18.8%and 7.7%.

关 键 词：故障预警 空压机 特征频点能量比 层次分析法 喘振故障 

分 类 号：TH45[机械工程—机械制造及自动化] TH138.2