交流电力测功机运行状态的混沌预测与异常诊断  

Chaos prediction and abnormality diagnosis of running state of AC electrical dynamometer

作　　者：钟定清[1,2] 王艾伦[1] 何谦 魏克湘[2] ZHONG Dingqing;WANG Ailun;HE Qian;WEI Kexiang(School of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China;School of Mechanical Engineering,Hunan Institute of Engineering,Xiangtan 411104,China)

机构地区：[1]中南大学机电工程学院,湖南长沙410083 [2]湖南工程学院机械工程学院,湖南湘潭411104

出　　处：《中南大学学报（自然科学版）》2019年第2期295-303,共9页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(11772126)~~

摘　　要：为提高交流电力测功机运行过程的安全性与可靠性,利用混沌理论对交流电力测功机运行状态的特征信息进行混沌辨析,主要内容包括对交流电力测功机运行过程中的齿轮最大温度、绕组最大温度、转速、有功功率进行混沌预测,对交流电力测功机运行过程中的油膜涡动、流体激励、径向碰摩状态进行混沌诊断。研究结果表明:运行状态参数齿轮最大温度、绕组最大温度和转子平均转速混沌预测的平均相对误差均为8.75%;通过混沌关联维数可以较好地区分交流电力测功机的油膜涡动异常、流体激励异常和碰摩异常这3种异常运行状态,为交流电力测功机的运行状态检测提供一种新思路。In order to improve the safety and reliability of the running state of alternating current(AC)dynamometer,chaos theory was applied to analyze the abstracted characteristics signals from the running state of AC dynamometer.The study includes the chao prediction of the maximum temperature of gear and winding,rotate speed and active power,the chao diagnosis of oil whirling,flow excitation and radial collision friction of alternating current dynamometer.The results show that the average relative errors of chao prediction of running state parameters of gear and winding and rotate speed are all 8.75%and the abnormal state of alternating current dynamometer can be differentiated by chaotic correlation,which provides a new method for the detection of running state,including oil whirl,fluid vibration and impact-rub of alternating current dynamometer.

关 键 词：交流电力测功机 运行状态检测 混沌预测 混沌诊断 

分 类 号：TH6[机械工程—机械制造及自动化]