Bayesian-MCMC-Prognostics

介绍

贝叶斯与MCMC采样用于预测 This code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model. The data used in this code can be download from https://pan.baidu.com/s/1pLdAlwoHHLVh1zKH6YQphg, extracting code:26fr

软件架构

软件架构说明

安装教程

1. matlab 2017及以上版本

使用说明

7 files are included

1. run the "RUL_predict_github.m" file to start.
2. "csv_to_mat.m" is used to convert .csv file to .mat file
3. "rawdataDisplay.m" is used to display the raw data
4. "featureExtraction.m" is used to extract the time and frequency features from raw data
5. "helperReadData.m" is the Matlab built-in function
6. "helperWriteToHSBearing.m" is the Matlab built-in function
7. "helperSortedBarPlot.m" is the Matlab built-in function

参与贡献

1. Fork 本仓库
2. 新建 Feat_xxx 分支
3. 提交代码
4. 新建 Pull Request

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