Search results for keyword: fuzzy
Concept and Application of Engineering Cybernetics (Part 2)
Engineering Control Theory: Concepts and Applications (2)
In engineering, control theory encompasses the design of systems that can control or regulate other systems or processes. The foundational idea behind control theory is to be able to control a complex process by applying the principles of ......
1021 
Natalie
Metallurgical Furnace Thermal Measurement and Control
Introduction
Metallurgical furnace heat engineering measurement and control is an important branch of industrial automation technology. With the development of new alloys, steelmaking furnace heat engineering, the measurement and control technology of the furnace has become a key technology to en......
AFC method
AFC: Another Flexible Configuration
AFC stands for Another Flexible Configuration. It is an open source configuration framework for quickly deploying and managing IT infrastructure across an entire enterprise. AFC has been designed to solve the problem of managing increasingly complex IT infrastr......
VODC method
Voronoi Diagram Clustering (VODC) Method
Voronoi diagram clustering (VODC) is a method of grouping data points into clusters that is relatively efficient and straightforward. First proposed by Ang and Shao (2011), VODC is an iterative refinement method for cluster analysis that is based on the Vo......
SL-RN method
Neutrosophic Theory
Neutrosophy is a new interdisciplinary mathematical theory which has been developed through the combination of three broader theories, namely fuzzy logic, intuitionistic logic, and multi-valued logic. As its name suggests, the theory is intended to capture the essence of a neut......
Overview of automation technology for metallurgical charge production
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Overview of Automation Technology for Metallurgical Furnace Material Production
Mankind is gradually moving towards automation. Automation technology has been applied in many fields. Production automation technology is especially important in the development of industrial production. Automation......
Brief Introduction of Neural Network Model for Sinter Performance Index Prediction
Introduction
Very recently artificial neural network (ANN) models have been gaining immense popularity for predicting the properties of pelletized iron ore. Neural networks are a type of machine learning model which imitate the processing of data in a human brain and are used to predict the desir......
Parameter acquisition and quality management system of CNC pneumatic rail welding machine
Introduction
This paper introduces a newly designed non-contact parametric data acquisition and quality control system, a CNC pneumatic welding track machine, for a factory that produces metal products for many years. This system can help the company maintain its competitive edge by providing accu......
Optimizing milling operations with intelligent functions
，用智能化功能优化铣削加工
Introduction
Milling is a machining process identified by the use of rotary cutters to finish a surface. It is an important element of many manufacturing processes, as it can provide specific features, precise shapes, or tight tolerances. However, due to the complex geom......
Mixed Model of Production Automation in Raw Material Yard and Preparation of Material Supply Plan
1 Introduction
As one of the important components of a companys production process, the formulation of a supply plan of raw materials plays an important role in ensuring the normal operation of the production and supplying of goods. With the development of modern society and the economy, the cont......
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