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.

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/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