MelroyCaeiro / PD-Denoising-using-Optimized-WaveletLinks
Partial Discharge Denoising Using Optimized Wavelet
☆13Updated 3 years ago
Alternatives and similar repositories for PD-Denoising-using-Optimized-Wavelet
Users that are interested in PD-Denoising-using-Optimized-Wavelet are comparing it to the libraries listed below
Sorting:
- Learning based Multi-scale Feature Engineering in Partial Discharge Detection☆19Updated 3 years ago
- VMD-SWTTV是一种针对一维信号的二级框架降噪算法，结合了变分模态分解VMD与平稳小波变换SWT，并采用了小波变换全变分法优化了SWT。降噪效果还是不错的。☆49Updated 2 years ago
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断☆248Updated 2 years ago
- 深度残差收缩网络处理一维时域信号☆36Updated 2 years ago
- 使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化，实现快速、准确的完成图像信号的分解。☆101Updated 2 years ago
- This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection a…☆53Updated 4 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆148Updated 10 months ago
- Python implementations of empirical mode decomposition as well as EEMD and CEEMD variants.☆29Updated 5 years ago
- implementation of several GANs with pytorch☆167Updated 3 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16Updated 3 years ago
- 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis☆115Updated 2 years ago
- ☆89Updated 3 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆55Updated 2 years ago
- variational mode decomposition and its variants☆69Updated 5 years ago
- This is the code for WaveletKernelNet.☆141Updated last year
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆61Updated last year
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 3 years ago
- ☆20Updated 3 years ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆35Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆97Updated 9 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- The Gearbox Fault Diagnosis dataset consists of vibration data recorded using SpectraQuest’s Gearbox Fault Diagnostics Simulator. The dat…☆37Updated 2 months ago
- The deep residual shrinkage network is a variant of deep residual networks.☆499Updated last month
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆49Updated 5 years ago
- In our project we are proposing a real time de-noising algorithm for audio signals based on the Wavelet Transform. White noise is omnipre…☆20Updated 5 years ago
- for de-noising☆36Updated 8 years ago
- ☆113Updated 3 years ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 4 years ago
- 1DCNN Fault Detection（1DCNN的轴承故障诊断）☆198Updated 3 years ago
- ☆73Updated 2 years ago