quickhdsdc / Point-Tracking-for-Displacement-Measurement-in-Railway-Applications
☆9Updated last year
Related projects: ⓘ
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆9Updated 3 months 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…☆14Updated 3 years ago
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆19Updated last year
- Implementaion of the method from the article "Blind identification of full-field vibration modes from video measurements with phase-based…☆11Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆26Updated 2 years ago
- ☆13Updated 7 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆40Updated 4 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆11Updated 2 years ago
- 论文《基于机理模型的旋转机械领域自适应故障诊断》验证案例的代码和数据☆9Updated 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""☆19Updated last year
- 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…☆21Updated 3 years ago
- ☆13Updated 3 years ago
- Filters and converts the acceleration data to velocities and displacement using the signal processing algorithms.☆10Updated 8 months ago
- Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis☆10Updated 2 years ago
- Code repository for Fault diagnosis of rotating machinery based on recurrent neural networks☆12Updated 2 years ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆22Updated last year
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆20Updated 3 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆12Updated last year
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆89Updated 4 years ago
- Vibrational Analysis for CWRU Bearing Dataset☆19Updated last year
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆12Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆14Updated 4 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。☆14Updated 5 years ago
- Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis☆11Updated 3 weeks ago
- ☆14Updated 3 years ago
- An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of…☆13Updated 2 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆15Updated 2 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆27Updated last year
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆10Updated 2 years ago
- ☆25Updated last year