相似文献/References:
[1]吕明珠1,2,苏晓明 1,等. 改进粒子群算法优化的支持向量机在滚动轴承故障诊断中的应用[J].机械与电子,2019,(01):42.
,,et al.Application of SVM Optimized by IPSO in Rolling Bearing Fault Diagnosis[J].Machinery & Electronics,2019,(06):42.
[2]赵蕾,傅攀,胡龙飞,等.FOA-WPT降噪和PSO-SVM在滚动轴承故障诊断中的应用[J].机械与电子,2018,(12):3.
ZHAO Lei,FU Pan,HU Longfei,et al.Applications of FOA-WPT and PSO-SVM in Faults Diagnosis of Rolling Bearing[J].Machinery & Electronics,2018,(06):3.
[3]吕明珠 苏晓明 陈长征 刘世勋.小波包能量熵与EMD结合分析法在风机滚动轴承故障诊断中的应用[J].机械与电子,2018,(06):8.
LYU Mingzhu,SU Xingming,CHEN Changzheng,et al.Application of Wavelet Packet Energy Entropy and EMD Conjoint Analysis in Fault Diagnosis of Wind Turbine Bearing[J].Machinery & Electronics,2018,(06):8.
[4]唐志宇,毛 兴,王路军.电力变压器绕组变形检测技术研究[J].机械与电子,2018,(11):53.
TANG Zhiyu,MAO Xing,WANG Lujun.Research on Power Transformer Winding Deformation Detection Technology[J].Machinery & Electronics,2018,(06):53.
[5]杨伟力,于阳阳,罗达灿.基于小波包和PSO-Elman神经网络的滚动轴承故障诊断[J].机械与电子,2016,(05):13.
YANG Weili,YU Yangyang,LUO Dacan.Rolling Bearing Fault Diagnosis Using Wavelet Packet Analysis and PSO-Elman
Neural Network[J].Machinery & Electronics,2016,(06):13.
[6]袁小凯,李 果,蒋屹新,等.基于 HS- ELM 的油浸式变压器故障诊断[J].机械与电子,2019,(12):30.
,,et al.Fault Diagnosis of Oil Immersion Transformer Based on HS-ELM Algorithm[J].Machinery & Electronics,2019,(06):30.
[7]孟庆宇.基于 EEMD- SVM 的自动扶梯主驱动轴轴承故障诊断方法研究[J].机械与电子,2020,(05):51.
Research on Fault Diagnosis Method for Main Drive Shaft Bearing of Escalator Based on EEMD-SVM [J].Machinery & Electronics,2020,(06):51.
[8]庄爱军.基于WA-ESN的建筑起重机械故障检测[J].机械与电子,2021,(01):67.
ZHUANG Aijun.Fault Detection of Construction Crane Based on WA-ESN[J].Machinery & Electronics,2021,(06):67.
[9]齐爱玲1,李 琳1,朱亦轩2,等.基于融合特征的双通道CNN滚动轴承故障识别[J].机械与电子,2021,(05):15.
QI Ailing,LI Lin,ZHU Yixuan,et al.Dual Channel CNN Bearing Fault Identification Based on Fusion Feature[J].Machinery & Electronics,2021,(06):15.
[10]王振亚,刘 韬,王廷轩,等.不平衡技术在轴承故障诊断中的应用[J].机械与电子,2021,(06):29.
WANG Zhenya,LIU Tao,WANG Tingxuan,et al.Application of Unbalance Technique in Bearing Fault Diagnosis[J].Machinery & Electronics,2021,(06):29.