rymshasaeed / Ensemble-Learner-for-Engine-Fault-DiagnosisLinks
An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of acoustic and vibration Signals
☆18Updated 3 years ago
Alternatives and similar repositories for Ensemble-Learner-for-Engine-Fault-Diagnosis
Users that are interested in Ensemble-Learner-for-Engine-Fault-Diagnosis are comparing it to the libraries listed below
Sorting:
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 2 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 Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆15Updated 5 years ago
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆18Updated 5 years ago
- Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis☆13Updated 7 months ago
- Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearin…☆21Updated 3 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
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆20Updated 2 years ago
- ☆23Updated 2 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆28Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆29Updated last year
- WT-planetary-gearbox-datasets☆68Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆35Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆80Updated 4 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 2 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆60Updated 3 years ago
- ☆13Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- ☆45Updated 5 months 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""☆22Updated 2 years ago
- ☆11Updated 4 years ago
- ☆20Updated last year
- ☆33Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year