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.
☆14Updated 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:
- This is our implemented source code for the paper "SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention …☆46Updated 3 months ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- 深度残差收缩网络处理一维时域信号☆36Updated 2 years ago
- ☆15Updated last year
- This project attempts to identify nine different faults and the healthy condition based on vibrational dataset of bearings. For this purp…☆12Updated 3 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10Updated last year
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断☆233Updated 2 years ago
- ☆46Updated 7 months 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
- This repo is the relevant code for MAWNO☆18Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆140Updated 7 months ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆89Updated 6 months ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆34Updated last year
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆14Updated 10 months ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆21Updated 2 years ago
- The code for NISTA_Net☆10Updated 2 years ago
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆24Updated 2 years ago
- This is the code for WaveletKernelNet.☆134Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆23Updated 2 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆36Updated 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
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Updated last year
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆49Updated 4 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆57Updated last year
- ☆35Updated 2 years ago