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Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
use cnn to extracte the feature of vibration raw data,then evaluate HI by rnned
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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 presented
Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks
start to learn how to use github
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Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
Config files for my GitHub profile.
This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.
Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
Predict remaining useful life of a component based on historical sensor observations using automated feature engineering
to prediction the remain useful life of bearing based on 2012 PHM data
A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
It is a collection of all kinds of feature extraction and recognition algorithms
Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
The python implementation of tri-triaing
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm
Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data
SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.