# Bayesian-MCMC-Prognostics

**Repository Path**: phm720/Bayesian-MCMC-Prognostics

## Basic Information

- **Project Name**: Bayesian-MCMC-Prognostics
- **Description**: 贝叶斯与MCMC采样用于预测
- **Primary Language**: Matlab
- **License**: CC-BY-SA-4.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 14
- **Forks**: 0
- **Created**: 2021-11-02
- **Last Updated**: 2025-03-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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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