基于ATVCF与IAOA-SDAE的变转速齿轮故障识别  

Variable Speed Gear Fault Identification Based on ATVCF and IAOA-SDAE

作　　者：陈向民 李博 韩梦茹 张亢[1] 姚鹏 舒文伊 CHEN Xiangmin;LI Bo;HAN Mengru;ZHANG Kang;YAO Peng;SHU Wenyi(College of Energy and Power Engineering,Changsha University of Science&Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学能源与动力工程学院,长沙410114

出　　处：《动力工程学报》2024年第11期1723-1732,共10页Journal of Chinese Society of Power Engineering

基　　金：湖南省自然科学基金资助项目(2018JJ3541);湖南省教育厅资助项目(20B019,21B0347)。

摘　　要：为提高变转速工况下齿轮故障识别的准确率,提出了一种基于自适应时变梳状滤波(ATVCF)与改进算数优化算法(IAOA)优化堆叠降噪自编码器(SDAE)的变转速齿轮故障识别方法。针对变转速齿轮振动信号的降噪,利用ATVCF方法预处理数据,在过滤噪声成分的同时保留有效信号;针对算数优化算法(AOA)在全局搜索和局部开发时存在的不足,引入余弦调控因子来改进算法中的数学优化器加速函数(MOA),以提升其全局搜索能力和局部开发充分寻优能力,并引入随机反向学习策略(ROBL)以增加算法的种群多样性,提升其搜索能力;此外,通过对IAOA-SDAE模型的参数寻优来确保模型的故障识别精度和稳定性。对变速齿轮振动测试数据的分析验证了所提方法在变速齿轮故障智能识别方面的有效性和优越性。To enhance the gear fault identification accuracy under variable speed operating conditions,a variable speed gear fault identification method was proposed based on adaptive time-varying comb filtering(ATVCF)and improved arithmetic optimization algorithm(IAOA)for optimizing stack denoising auto encoder(SDAE).Aiming at the noise reduction of vibration signals of variable speed gear,the ATVCF was used to preprocess the data so as to filter out noise components and retain the effective signals.Aiming at the shortcomings of AOA algorithm in global search and local development,cosine regulation factor was introduced for improving the mathematical optimizer acceleration(MOA)function so as to increase the global search ability and local development full optimization ability.Random opposition-based learning(ROBL)was introduced to increase the population diversity of the algorithm,enhancing search ability.In addition,the parameters of IAOA-SDAE model were optimized to ensure fault identification accuracy and stability of the model.The analysis of the vibration test data of the variable speed gears verifies the effectiveness and superiority of the proposed method in the intelligent identification of the variable speed gear fault.

关 键 词：变转速工况 齿轮故障诊断 自适应时变梳状滤波 算数优化算法 堆叠降噪自编码器 

分 类 号：TH132[机械工程—机械制造及自动化]