Pinned Repositories
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
ais_vae
Implementation of ais_vae and a demo of bearing degradation prediction based on Cincinnati dataset
awesome-nodejs
:zap: Delightful Node.js packages and resources
Bearing-dataset-analysis
bearing_detection_by_conv1d
bearing_rul_predict
BearingControlSystems
CWRU-TCN2
CWRU_TCN
dataset
Hosting all datasets collected from various sources
MBSMGW's Repositories
MBSMGW/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
MBSMGW/ais_vae
Implementation of ais_vae and a demo of bearing degradation prediction based on Cincinnati dataset
MBSMGW/awesome-nodejs
:zap: Delightful Node.js packages and resources
MBSMGW/Bearing-dataset-analysis
MBSMGW/bearing_detection_by_conv1d
MBSMGW/bearing_rul_predict
MBSMGW/BearingControlSystems
MBSMGW/CWRU-TCN2
MBSMGW/CWRU_TCN
MBSMGW/dataset
Hosting all datasets collected from various sources
MBSMGW/Fault-diagnosis
Fault Diagnosis on Bearing Dataset
MBSMGW/Mechanical-datasets
MBSMGW/Open-Fluid-Bearing
Open Hardware Fluid and Air bearings
MBSMGW/Predictive-Maintenance
A notebook tutorial series for performing predictive maintenance using machine learning
MBSMGW/Predictive-Maintenance-Modelling-Datasets
This model comprises of Manufacturing units dataset , sources are telemetry , machine failure , error logs , maintenance and machines configuration(age).
MBSMGW/predictive_mainenance_imbalanced_data
XGBoost mode for imbalanced data
MBSMGW/prognostic_and_rul_prediction_of_bearing_data
One model for RUL and fault prognostic prediction on XJTU bearing dataset
MBSMGW/pytorch-GAN-timeseries
GANs for time series generation in pytorch
MBSMGW/Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
MBSMGW/Rotating-machinery-fault-diagnosis-dataset
It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southeast University(SEU), University of Cincinnati(UC), University of Connecticut(UCONN), University of Paderborn,(UPB), Curtin University(CURTIN), and University of Ottawa(uOttawa).
MBSMGW/seriesnet
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
MBSMGW/soundsync
Virtual cables between any audio source and any speaker in your home
MBSMGW/tusk
Refined Evernote desktop app
MBSMGW/xjtu-sy-bearing-datasets