viniciuserra / Gearbox-Hybrid-CNN-SVMLinks
The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a Convolutional Neural Network (CNN) to obtain features directly from the original vibration signals of a gearbox with different pinion conditions. Experimental data is used to show the efficiency of the present…
☆24Updated last year
Alternatives and similar repositories for Gearbox-Hybrid-CNN-SVM
Users that are interested in Gearbox-Hybrid-CNN-SVM are comparing it to the libraries listed below
Sorting:
- ☆10Updated 6 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 5 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆24Updated 4 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 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…☆52Updated 4 years ago
- Siamese network for bearing fault diagnosis☆90Updated 5 years ago
- ☆108Updated 2 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆46Updated 7 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago
- ☆62Updated 6 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- ☆23Updated 3 years ago
- wdcnn model for bearing fault diagnosis☆33Updated 5 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆99Updated 5 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 5 years ago
- 基于迁移学习的离心泵滚动轴承故障自动识别方法研究☆15Updated 5 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆57Updated last year
- 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…☆12Updated 5 years ago
- These codes realize data transformation and simple data processing for fault diagnosis.☆92Updated 7 years ago
- Experiments performed to analyse the CNN on the CWRU data set.☆14Updated 5 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆22Updated 3 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆84Updated 3 years ago
- MATLAB codes for "Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis"☆27Updated 8 months ago
- 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
- ☆23Updated last year
- domain adaption with LSGAN for bearing fault diagnosis☆74Updated 7 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆33Updated 5 years ago