Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis

Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis
Author: Mushiri, Tawanda
Publisher: IGI Global
Total Pages: 315
Release: 2018-01-12
Genre: Computers
ISBN: 1522532455

In the fast pace of the modern world it is important, more than ever, for factories to know how and why their machines are failing and what can be done to prevent it. As such, it is imperative that new research is conducted to make sure that factories can operate as efficiently as possible. Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis is an essential reference source for the newest research on the risk assessment matrix, ladder logic, and computerized maintenance management systems (CMMS). Featuring widespread coverage across a variety of related viewpoints and topics, such as the Ishikawa diagram, machinery failure analysis and troubleshooting, model reference adaptive control systems, and proportional–integral–derivative (PID) controllers, this book is ideally designed for professionals, upper-level students, and academics seeking current research on the implementation of fuzzy logic in machine prediction failure.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition
Author: Petra Perner
Publisher: Springer
Total Pages: 462
Release: 2017-07-01
Genre: Computers
ISBN: 3319624164

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

AI Factory

AI Factory
Author: Ramin Karim
Publisher: CRC Press
Total Pages: 445
Release: 2023-05-24
Genre: Computers
ISBN: 1000865053

Presents compendium of methodologies and technologies in industrial AI and digitalization Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept Covers a broad range of academic and industrial issues within the field of asset management Discusses impact of Industry 4.0 in other sectors Includes a dedicated chapter on real-time case studies

Mining Equipment Reliability, Maintainability, and Safety

Mining Equipment Reliability, Maintainability, and Safety
Author: Balbir S. Dhillon
Publisher: Springer Science & Business Media
Total Pages: 209
Release: 2008-07-05
Genre: Technology & Engineering
ISBN: 1848002882

From its origins in the malachite mines of ancient Egypt, mining has grown to become a global industry which employs many hundreds of thousands of people. Today, the mining industry makes use of various types of complex and sophisticated equipment, for which reliability, maintainability and safety has become an important issue. Mining Equipment Reliability, Maintainability and Safety is the first book to cover these three topics in a single volume. Mining Equipment Reliability, Maintainability and Safety will be useful to a range of individuals from administrators and engineering professionals working in the mining industry to students, researchers and instructors in mining engineering, as well as design engineers and safety professionals. All topics covered in the book are treated in such a manner that the reader requires no previous knowledge to understand the contents. Examples, solutions and test problems are also included to aid reader comprehension.

Control Charts and Machine Learning for Anomaly Detection in Manufacturing

Control Charts and Machine Learning for Anomaly Detection in Manufacturing
Author: Kim Phuc Tran
Publisher: Springer Nature
Total Pages: 270
Release: 2021-08-29
Genre: Technology & Engineering
ISBN: 3030838196

This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution. The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes. The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries.

Leveraging Technology for a Sustainable World

Leveraging Technology for a Sustainable World
Author: David A. Dornfeld
Publisher: Springer Science & Business Media
Total Pages: 620
Release: 2012-04-23
Genre: Technology & Engineering
ISBN: 3642290698

The 19th CIRP Conference on Life Cycle Engineering continues a strong tradition of scientific meetings in the areas of sustainability and engineering within the community of the International Academy for Production Engineering (CIRP). The focus of the conference is to review and discuss the current developments, technology improvements, and future research directions that will allow engineers to help create green businesses and industries that are both socially responsible and economically successful. The symposium covers a variety of relevant topics within life cycle engineering including Businesses and Organizations, Case Studies, End of Life Management, Life Cycle Design, Machine Tool Technologies for Sustainability, Manufacturing Processes, Manufacturing Systems, Methods and Tools for Sustainability, Social Sustainability, and Supply Chain Management.

Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0

Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0
Author: Martinetti, Alberto
Publisher: IGI Global
Total Pages: 321
Release: 2020-06-26
Genre: Technology & Engineering
ISBN: 1799839052

To plan, build, monitor, maintain, and dispose of products and assets properly, maintenance and safety requirements must be implemented and followed. A lack of maintenance and safety protocols leads to accidents and environmental disasters as well as unexpected downtime that costs businesses money and time. With the arrival of the Fourth Industrial Revolution and evolving technological tools, it is imperative that safety and maintenance practices be reexamined. Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 is a collection of innovative research that addresses safety and design for maintenance and reducing the factors that influence and degrade human performance and that provides technological advancements and emergent technologies that reduce the dependence on operator capabilities. Highlighting a wide range of topics including management analytics, internet of things (IoT), and maintenance, this book is ideally designed for engineers, software designers, technology developers, managers, safety officials, researchers, academicians, and students.