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2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

bazel

a fast, scalable, multi-language and extensible build system

casewesternreserveuniversitydata

clientserverproject

一个C-S模版，该模版由三部分的程序组成，一个服务端运行的程序，一个客户端运行的程序，还有一个公共的组件，实现了基础的账户管理功能，版本控制，软件升级，公告管理，消息群发，共享文件上传下载，批量文件传送功能。具体的操作方法见演示就行。本项目的一个目标是：提供一个基础的中小型系统的C-S框架，客户端有三种模式，无缝集成访问，winform版本，wpf版本，asp.net mvc版本，方便企业进行中小型系统的二次开发和个人学习。同时网络组件方便的支持读写三菱和西门子PLC的数据，详细见Readme

cost_sensitive_loss_classification

A straightforward mechanism to implement cost sensitive losses in pytorch

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

costsensitiveclassification

CostSensitiveClassification Library in Python

csharp_treelistview

C#winform控件，Listview与Treeview 的结合

cwru

data_mining_models

Basic data mining model, including feature importance display

datax

deep-learning-coursera

吴恩达深度学习课程课后编程作业

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

femto

Spark - Bearing RUL Predictions

gtmm

GainzTakerMoneyMakerrrrrr

keras_detect_tool_wear

Tool wear prediction by residual CNN

linkallfilemanager

基于vs2010+csskin开发的winfom客户端程序，客户端包含了数据库安装和文件存储管理两个客户端 实现了 1.基于域账号控制系统登录，也可以配置为账号和密码登陆模式 2.动态设置数据库连接，可以一步到位安装数据库 3.可以设置自动备份时间 4.本地文件按照工程管理，可以像百度云或者本地文件管理一样操作服务器的数据文件 5.支持文件、文件夹的增删查改和历史版本记录 6.每一个用户可以对应多个工程支持动态添加域账号来控制系统 7.用户管理：基于角色管理用户数据，超级管理员可以查看其它管理员数据 8.日志查询：可以按时间操作类型、ip查询，且可以查看文件历史版本 9.监控服务：当监控的进程关闭或者开启都会自动关联信息到本客户端，该客户端可以自动更新上传数据 10.监控服务在setup安装过程自动安装

machine_learning_for_damage_detection_in_rolling_bearings

Machine learning algorithms for damage detection in rolling bearings. #WorkInProgress

mechanical-datasets

netdde

DDE client and server to allow DDE conversations to span the network

prognostic_and_rul_prediction_of_bearing_data

One model for RUL and fault prognostic prediction on XJTU bearing dataset

projectrul

to prediction the remain useful life of bearing based on 2012 PHM data

pytorch-gtmm

ribbonwinforms

An Office Ribbon Control for .NET WinForms

rul

Estimate Remaining Useful Life of a Machine

rul-estimation-based-on-fcn-lstm

For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.

rul-of-li-ion-batteries

The remaining life of Li-Ion batteries was predicted by training the model for various datasets, considering various factors by applying Support Vector Machines.

rul-prediction-using-lasso-regression

Predicting the Remaining Used Life of Machine parts using LASSO Regression.

rul_codes_open

This repository contains codes that implement common machine learning algorithms for remaining useful life (RUL) prediction.

rul_using_cnn_lstm

Predict remaining useful life of a machine from it's historical data using CNN and LSTM