基于小波包降噪与VMD的滚动轴承故障特征提取方法The Rolling Bearing Fault Feature Extraction Method Based on Wavelet Packet Noise Reduction and VMD
袁燕红, 白静国, 王永帅
机械工程与技术Vol.8 No.2, 全文下载: PDF HTML XML DOI:10.12677/MET.2019.82015, April 25 2019
基于HHT的航空发动机液压管路系统管路故障诊断研究Fault Diagnosis and of Aero-Engine Hydraulic Pipeline Vibration Signals Based on Hilbert Huang Transforms
李天成, 朱 瑞, 李晨晨, 韩清鹏
国际航空航天科学Vol.5 No.1, 全文下载: PDF HTML XML DOI:10.12677/JAST.2017.51005, March 31 2017
滚动轴承故障诊断实验研究Experimental Study on the Fault Diagnosis of Rolling Bearing
陆黎敏
机械工程与技术Vol.8 No.1, 全文下载: PDF HTML XML DOI:10.12677/MET.2019.81006, February 18 2019
基于BP神经网络的滚动轴承故障监测研究 Rolling Bearing Fault Monitoring Research Based on the BP Neural Network
廖术娟, 傅攀, 张尔卿
机械工程与技术Vol.3 No.2, 全文下载: PDF HTML DOI:10.12677/MET.2014.32008, June 17 2014
基于轴承脉冲信号的早期故障检测方法研究Research on Early Fault Detection Method Based on Bearing Pulse Signal
雷 宇
机械工程与技术Vol.13 No.6, 全文下载: PDF XML DOI:10.12677/met.2024.136060, December 9 2024
基于改进浣熊算法并行极限学习机机械装备故障预测Fault Prognosis of Mechanical Equipment Using Improved Raccoon-Optimized Parallel Extreme Learning Machine
黄载东
传感器技术与应用Vol.13 No.2, 全文下载: PDF XML DOI:10.12677/jsta.2025.132015, March 18 2025