Ehzusnii / DRSN-for-seismic-damage-assessmentLinks
We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for seismic signal denoising and seismic damage assessment.
☆15Updated 2 years ago
Alternatives and similar repositories for DRSN-for-seismic-damage-assessment
Users that are interested in DRSN-for-seismic-damage-assessment are comparing it to the libraries listed below
Sorting:
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16Updated 3 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆11Updated last year
- Code tu use learnable wavelet transforms like L-WPT and DeSPaWN methods in pytorch☆33Updated 2 years ago
- This is our implemented source code for the paper "SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention …☆52Updated 5 months ago
- ☆16Updated last month
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10Updated 4 years ago
- The code for NISTA_Net☆11Updated 2 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Updated 4 years ago
- 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
- This project attempts to identify nine different faults and the healthy condition based on vibrational dataset of bearings. For this purp…☆13Updated 3 years ago
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆16Updated last year
- 深度残差收缩网络处理一维时域信号☆36Updated 2 years ago
- 主要提出了一种从多谱线特征层融合角度提出了基于格拉姆角场（Gramian angular field）与多尺度卷积神经网络（multi-scale convolutional neural network）的光谱特征提取方法，使用格拉姆角场将一维光谱信号变换为二维图像增强了…☆25Updated 2 years ago
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆28Updated 3 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 3 years ago
- In this paper, a novel adaptive morphological reconstruction (AMR) operation is proposed. AMR is able to obtain better seed images to imp…☆14Updated 5 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆17Updated 6 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆21Updated 3 years ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆35Updated last year
- Code sharing of fault diagnosis papers.☆57Updated 2 years ago
- ☆47Updated 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
- 一些在振动信号重构中应用的稀疏重构算法☆42Updated 5 years ago
- ☆36Updated 3 years ago
- ☆24Updated 3 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆146Updated 9 months ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆23Updated 2 years ago