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4140steel-mechanicalproperties

Analysis of stress-strain curve for heat treated 4140 steel

akp

Electric steel plant, ladle-furnace unit. Сalculation model of steel chemical composition.

automatic-influential-process-variable-identification

we develop a framework to identify the influential process variable for a hot rolling process with multiple sensing information installed in multistage rolling processes. The proposed method does not require any significant involvement of highly trained data scientists. A Manufacturing Data Engine (MADE) is structured to achieve data fusion for initial data screening and analysis. It automatically identifies the influential process variables through multiple permutation tests.

c-sharp-industry-automation-common-tools-codes

C#: EPSON Robot Remote TCP/IP Control,Motion Control(GoogolTech/LeadShine),Advantech(PCI1752/PCI1754),Keyence Laser,RS232C,RS485,TCP/IP Server/Client(Sync/Async),OPC Client/Server,CAN, EtherCAT,XML,Excel,MYSQL/ACCESS Database,Common functions,Delay(time), etc.C#开发的工业自动化控制类，大部分已经写完且验证过: 一、EPSON Robot Remote TCP/IP Control: 用于对EPSON机械手进行远程以太网控制，建立以太网通讯后发送命令给爱普生机械手控制器，然后依照返回的命令处理相应结果; 二、Motion Control(GoogolTech/LeadShine):【二次封装】固高GTS系列运动控制卡运动卡控制类：初始化运动卡和更新IO,控制固高运动控制器轴运动;这是对固高和雷赛运动控制卡的DLL文件中的函数进行第二次封装，使在实际编程的时候更加方便、快捷； 三、Advantech: PCI1752:研华数据采集卡PCI1752更新输出及输出状态回读; PCI1754:研华数据采集卡PCI1754更新输入信号; 四、Keyence Laser:基恩士激光读取数据; 五、RS232C:RS232C串口通讯，包括界面类； 六、RS485:RS485串口通讯，还没有完成； 七、TCP/IP Server/Client(Sync/Async)：以太网通讯客户端和服务器端，支持同步和异步通讯; 八、OPC Client/Server：还没有完成； 九、CAN, EtherCAT：还没有完成； 十、XML：XML文件操作，包括写和读取的相关实用函数； 十一、Excel：Excel文件的相关操作，包括快速写大量数据到EXCEL文件；其中处理条件格式的代码还在调试中； 十二、MYSQL/ACCESS Database：数据库操作； 十三、Common functions：操作系统和文件相关操作、获取TcpClient连接的本地/对方IP地址和端口、通用TCP/IP函数、跨线程安全的委托、进制转换、通用RS232C函数； 十四、Delay(time)：延时计时器，等待指定时间，如果计算机不支持高性能计数器，则只支持整数秒的时间 十五、ListView：针对ListView控件的各项增加、删除、查找操作；

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

contriboard-noise-tester

Noise tester for Contriboard

epiphany

Cloud and on-premises automation for Kubernetes centered industrial grade solutions.

fann

Official github repository for Fast Artificial Neural Network Library (FANN)

htm-anomalydetection

This repository is Outotec anomaly detection prototype based on HTM and Python 2.7

ljzhao007-

locust-contriboard

Locust tests for contriboard

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

melt-inclusions

Cluster analysis and artificial neural network methods applied to some melt inclusion data

meltoxygencalculator

This is a simulator for metals melting with a controlled oxidation process

mimic

Melt inclusion modification corrections (MIMiC).

mlservicestutorials

Tutorials for SQL Server Machine Learning services

mnspc

Multivariate Nonparametric Statistical Process Control

mspc_validation

nab

The Numenta Anomaly Benchmark

neural-network-pruning

A web application using the neural network pruning algorithm developed by Henrik Saxén and Frank Petterson. The purpose of the application is to use measured from any system and identify which of the measurements that are useful to describe the state of the system.

oamk-iot-assignments

IoT Assignments at the Oulu University of Applied Sciences 📑📊

openprotocolinterpreter

Converts the ugly package that came from Open Protocol to an object

predicting-crack-on-a-continuously-cast-metal-slab

 Predicted location of cracks which saved the production cost& improved quality of steel slab  Pre-processed unorganized company data & converted the key value pairs to a tabular format  Built model using Extreme Gradient Boosting & recursive partitioning with 75% accuracy

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pyspc

Statistical Process Control Charts Library for Humans

qprc_presentation

Multi-State Multivariate Statistical Process Control

run-aspnetcore-microservices

Microservices on .Net platforms which used Asp.Net Web API, Docker, RabbitMQ, MassTransit, Grpc, Ocelot API Gateway, MongoDB, Redis, PostgreSQL, SqlServer, Dapper, Entity Framework Core, CQRS and Clean Architecture implementation. Also includes Cross-Cutting concerns like Implementing Centralized Distributed Logging with Elasticsearch, Kibana and SeriLog, use the HealthChecks with Watchdog, Implement Retry and Circuit Breaker patterns with Polly and so on.. See Microservices Architecture and Step by Step Implementation on .NET Course w/ discount->

rust-detection-algorithmm

This project detects the rusted area of a metal surface using image processing algorithm

sachchidanand-kumar

On a sultry Friday morning in the month of August Mr Anand Kumar, head of the Steel melting shop in XYZ Ltd. was glancing through the daily report of his department with a brow of concern on his forehead. In the last couple of days 6 heats were downgraded due to high Sulphur content. He was now worried about meeting the delivery schedule of a premium order from one of their highly esteemed customers. He was also concerned that, Sales team will have difficulty in finding an order for the downgraded heats - which will eventually be sold at a lower price - directly affecting the bottom line. Sulphur content in steel is currently being predicted by a model and the reason for Mr Kumar's immediate concern was that despite his team’s best efforts his current model only has a 65% accuracy of predicting the Sulphur % in the given specification for few grades. Given his habit of staying abreast of the advances in the field of Predictive analytics, Mr Kumar was of the firm belief that an analytics led intervention may act as a panacea for the problem he was currently encountering. Mr Kumar is looking for a team to help him better predict the Output Sulphur % of his Desulphurization process?

sharpscada

C# SCADA