quickhdsdc / Point-Tracking-for-Displacement-Measurement-in-Railway-Applications
☆10Updated last year
Alternatives and similar repositories for Point-Tracking-for-Displacement-Measurement-in-Railway-Applications:
Users that are interested in Point-Tracking-for-Displacement-Measurement-in-Railway-Applications are comparing it to the libraries listed below
- Implementaion of the method from the article "Blind identification of full-field vibration modes from video measurements with phase-based…☆13Updated 3 years ago
- ☆13Updated 8 years ago
- 检测视频中振动结构的振动频率，像素振幅。可检测亚像素级别振动。☆18Updated 6 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10Updated 10 months ago
- ☆10Updated last year
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆14Updated 4 months ago
- ☆10Updated 2 years ago
- ☆11Updated 4 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 3 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…☆17Updated 4 years ago
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆15Updated 3 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆11Updated 3 years ago
- ☆11Updated 3 years ago
- Anudruti / Predictive-Failure-Analysis-of-Spindle-Motor-Cutting-Oil-Condition-Monitoring-of-Grinding-Machine-With the advent of Industry 4.0, manufacturing industries are competing to adopt intelligent machining systems into their processes to ge…☆9Updated 4 years ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆30Updated 2 years ago
- Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis☆12Updated 3 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆14Updated 2 years ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆18Updated 3 years ago
- This project deals with detection and diagnosis of 7 faults of a reciprocating compressor using acoustic signals. After feature extractio…☆13Updated 2 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆12Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆32Updated 2 years ago
- Source codes for paper "Hierarchical hyper-Laplacian prior for weak fault feature enhancement"☆9Updated 4 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆42Updated 5 years ago
- data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"☆20Updated 5 years ago
- Variance discrepancy representation☆11Updated 10 months ago
- BILSTM，GRU，LSTM☆16Updated 10 months ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆21Updated 4 years ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆11Updated last week
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆26Updated 2 years ago