Author: R. G. SilvaPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Cutting Tool Condition Monitoring of the Turning Process Using Artificial Intelligence
Author: R. G. SilvaCutting Tool Condition Monitoring Using Artificial Intelligence
Author: Rui SilvaPublisher: LAP Lambert Academic Publishing
ISBN: 9783838372341
Category : Machinery
Languages : en
Pages : 208
Book Description
This work relates to the application of Artificial Intelligence to tool wear monitoring. The main objective is to develop an intelligent condition monitoring system able to detect when a cutting tool is worn out. It is used a combined Expert System and Neural Network able to process data coming from external sensors and combine this with information from the knowledge base and thereafter estimate the wear state of the tool. The novelty of this work is mainly associated with the configuration of the proposed system. With the combination of sensor-based information and inference rules, the result is an on-line system that can learn from experience and can update the knowledge base pertaining to information associated with different cutting conditions. Two neural networks resolve the problem of interpreting the complex sensor inputs while the Expert System, keeping track of previous success, estimates which of the two neural networks is more reliable. In this study an on-line tool wear monitoring system for turning processes has been developed which can reliably estimate the tool wear under common workshop conditions.
Condition Monitoring and Control for Intelligent Manufacturing
Author: Lihui WangPublisher: Springer Science & Business Media
ISBN: 1846282691
Category : Technology & Engineering
Languages : en
Pages : 411
Book Description
Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
On-line Cutting Tool Condition Monitoring in Machining Processes Using Artificial Intelligence
Author: Antonio J. VallejoPublisher:
ISBN:
Category : Technology
Languages : en
Pages :
Book Description
On-line Cutting Tool Condition Monitoring in Machining Processes Using Artificial Intelligence.
Information Technology for Balanced Manufacturing Systems
Author: Weiming ShenPublisher: Springer
ISBN: 038736594X
Category : Technology & Engineering
Languages : en
Pages : 509
Book Description
BASYS conferences were initially organized to promote the development of balanced automation systems. The first BASYS conference was successfully launched in Victoria, Brazil, in 1995. BASYS'06 is the 7th edition in this series. This book comprises three invited keynote papers and forty-nine regular papers accepted for presentation at the conference. All together, these papers will make significant contributions to the literature of Intelligent Technology for Balanced Manufacturing Systems.
Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
Author: Gunjan SoniPublisher: CRC Press
ISBN: 1000954080
Category : Technology & Engineering
Languages : en
Pages : 261
Book Description
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science. The book Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learning The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
Cutting Tool Condition Monitoring Using Multiple Sensors and Artificial Intelligence Techniques on a Computer Numerical Controlled Milling Machine
Author: Steven John WilcoxHandbook of Manufacturing Engineering and Technology
Author: Andrew Y. C. NeePublisher: Springer
ISBN: 9781447146698
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
The Springer Reference Work Handbook of Manufacturing Engineering and Technology provides overviews and in-depth and authoritative analyses on the basic and cutting-edge manufacturing technologies and sciences across a broad spectrum of areas. These topics are commonly encountered in industries as well as in academia. Manufacturing engineering curricula across universities are now essential topics covered in major universities worldwide.
Soft Modeling in Industrial Manufacturing
Author: Przemyslaw GrzegorzewskiPublisher: Springer
ISBN: 3030032019
Category : Technology & Engineering
Languages : en
Pages : 196
Book Description
This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.
Handbook of Research on Emerging Trends and Applications of Machine Learning
Author: Solanki, ArunPublisher: IGI Global
ISBN: 1522596453
Category : Computers
Languages : en
Pages : 674
Book Description
As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.