变分模态分解结合深度迁移学习诊断机械故障.
施杰， 伍星， 柳小勤， 刘韬 - Transactions of the Chinese …, 2020 - search.ebscohost.com
针对机械故障振动信号在变工况条件下的特征提取与智能诊断问题, 该研究提出了一种将变分模
态分解(Variational Mode Decomposition, VMD) 的优化算法与深度迁移学习(Deep Transfer …
态分解(Variational Mode Decomposition, VMD) 的优化算法与深度迁移学习(Deep Transfer …
Laser Welding Penetration Monitoring Based on Time-Frequency Characterization of Acoustic Emission and CNN-LSTM Hybrid Network
In-process penetration monitoring of the pulsed laser welding process remains a great
challenge for achieving uniform and reproducible products due to the highly complex nature …
challenge for achieving uniform and reproducible products due to the highly complex nature …
Novel fault location for high permeability active distribution networks based on improved VMD and S-transform
Y Xu, C Zhao, S Xie, M Lu - IEEE Access, 2021 - ieeexplore.ieee.org
Aiming at the problem of the inaccurate fault location in high-permeability active distribution
network, a novel method of fault location for active distribution network based on improved …
network, a novel method of fault location for active distribution network based on improved …
Early fault diagnosis of shaft crack based on double optimization maximum correlated kurtosis deconvolution and variational mode decomposition
T Ma, X Zhang, H Jiang, K Wang, L Xia, X Guan - IEEE Access, 2021 - ieeexplore.ieee.org
Aiming at the problem that the vibration energy of shaft crack early weak fault is small and
the feature extraction was difficult, the fault diagnosis method of cuckoo search, maximum …
the feature extraction was difficult, the fault diagnosis method of cuckoo search, maximum …
Research on Low‐Resistance Grounding Fault Line Selection Based on VMD with PE and K‐Means Clustering Algorithm
W Cao, C Li, Z Li, S Wang… - Mathematical Problems in …, 2022 - Wiley Online Library
Aiming at the fault line selection problem in the single‐phase grounding system of the
distribution network, a new fault line selection method based on VMD and permutation …
distribution network, a new fault line selection method based on VMD and permutation …
Feature extraction method of pipeline signal based on parameter optimized vocational mode decomposition and exponential entropy
Y Zhou, Y Zhang, J Lu, F Yang… - Transactions of the …, 2022 - journals.sagepub.com
Pipeline leakage is the main reason that affects normal operation of the pipeline. In this
paper, a feature recognition method for pipeline acoustic signals based on vocational mode …
paper, a feature recognition method for pipeline acoustic signals based on vocational mode …
Weak fault feature extraction of rolling bearing based on SVMD and improved MOMEDA
X Wang, J Ma - Mathematical Problems in Engineering, 2021 - Wiley Online Library
In order to solve the problem that it is very difficult to extract fault features directly from the
weak impact component of early fault signal of rolling bearing, a method combining …
weak impact component of early fault signal of rolling bearing, a method combining …
基于VMD 和DAIPSO-GPR 解决容量再生现象的锂离子电池寿命预测研究
刘金凤， 陈浩玮 - 电子与信息学报, 2023 - jeit.ac.cn
锂离子电池应用时表现出的时变, 动态, 非线性等特征, 以及容量再生现象,
导致传统模型对锂离子电池剩余使用寿命(RUL) 预测的准确性低, 该文将变分模态分解(VMD) …
导致传统模型对锂离子电池剩余使用寿命(RUL) 预测的准确性低, 该文将变分模态分解(VMD) …
Application of VMD Combined with CNN and LSTM in Motor Bearing Fault
R Song, Q Jiang - 2021 IEEE 16th Conference on Industrial …, 2021 - ieeexplore.ieee.org
Traditional data-driven diagnosis methods rely on manual feature extraction and it is difficult
to adaptively extract effective features. Aiming at the characteristics of non-linear, non …
to adaptively extract effective features. Aiming at the characteristics of non-linear, non …
基于电子舌结合VMD-IMG 组合模型的清香型白酒掺假检测.
白雪瑞， 李鑫， 孙涛， 王彦荣… - Packaging & Food …, 2024 - search.ebscohost.com
针对传统白酒掺假检测方法分析流程长, 仪器操作复杂等问题, 提出一种基于电子舌结合变分模
态分解和改进多通道GhostNet 网络组合模型, 实现对白酒掺假快速检测的方法 …
态分解和改进多通道GhostNet 网络组合模型, 实现对白酒掺假快速检测的方法 …