DouwMarx / Hybrid_Approach_To_Planetary_Gearbox_PrognosticsLinks
Masters Thesis: Hybrid Approach to planetary gearbox prognostics (University of Pretoria, South-Africa, CAIM)
☆9Updated 4 years ago
Alternatives and similar repositories for Hybrid_Approach_To_Planetary_Gearbox_Prognostics
Users that are interested in Hybrid_Approach_To_Planetary_Gearbox_Prognostics are comparing it to the libraries listed below
Sorting:
- Matlab simulation of a hydrodynamically lubricated slider bearing☆10Updated 6 years ago
- ☆9Updated 8 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 years ago
- ☆10Updated 4 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Updated 2 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆98Updated 5 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆45Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Updated 5 years ago
- Industrial intelligence☆9Updated 7 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- ☆11Updated 4 years ago
- ☆12Updated 4 years ago
- ☆10Updated 6 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 of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London☆12Updated 5 years ago
- ☆16Updated 6 years ago
- 基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法☆10Updated 5 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 2 years ago
- Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning☆19Updated 6 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 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
- ☆10Updated 2 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆46Updated 7 years ago
- ☆23Updated 3 years ago
- Data Driven Fault Diagnosis☆15Updated 6 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…☆12Updated 5 years ago
- bearing fault diagnosis☆8Updated 5 years ago