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Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing

by Amit Kumar Tyagi, Shrikant Tiwari, Gulshan Soni

Computers / Data Science / Machine Learning Computers / Blockchain Technology & Engineering / Industrial Engineering ✓ Preview Available ⚠ Free PDF: Unavailable

Publisher: CRC Press Year: 2024 Pages: 418 Language: EN

About this book

Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.Data Analytics and Artificial Intelligence f...

30-Second Summary

This book explores the integration of data analytics and artificial intelligence in predictive maintenance within smart manufacturing environments. It emphasizes the importance of these technologies in anticipating equipment failures, thereby optimizing maintenance schedules and reducing downtime. The authors provide insights into current trends, methodologies, and tools that enhance operational efficiency and cost-effectiveness in manufacturing processes.

Key Takeaways

Understanding the role of AI and data analytics in predictive maintenance.
Exploring various tools and techniques for effective maintenance strategies.
Learning how to implement predictive maintenance to minimize equipment failures.
Analyzing current trends in smart manufacturing and their impact on maintenance practices.

Who Should Read This Book

This book is ideal for professionals in the manufacturing sector, including engineers, data scientists, and operations managers. It also serves as a valuable resource for students and researchers interested in the applications of AI and data analytics in industrial settings. Those looking to enhance their knowledge of predictive maintenance will find the content particularly beneficial.

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Frequently Asked Questions

What is predictive maintenance?

Predictive maintenance is a strategy that uses data analysis tools and techniques to predict when equipment failure might occur, allowing for timely maintenance to prevent breakdowns.

How does AI contribute to predictive maintenance?

AI enhances predictive maintenance by analyzing large datasets to identify patterns and anomalies, improving the accuracy of failure predictions.

Is this book suitable for beginners?

Yes, the book is designed to be accessible, providing foundational knowledge as well as advanced insights into predictive maintenance technologies.

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