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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

Predictive maintenance using AI


Heavy machinery and equipment are the backbone of any industry and like all physical objects, they deteriorate, age, and fail. Initially, companies used to perform reactive maintenance, that is, maintenance was done once the equipment failure was reported. This used to cause unplanned downtime. For any industry, an unscheduled, unplanned downtime can cause significant resource crunch and drastically reduce efficiency, production, and hence, profits. To deal with these problems, industries shifted to preventive maintenance. 

In preventive maintenance, regular scheduled routine checks are performed at predetermined intervals. Preventive maintenance required keeping a record of equipment and their scheduled maintenance. The third industrial revolution, where computers were introduced into industries, made it easy to maintain and update these records. While preventive maintenance saves the industry from most unplanned downtimes, it still isn't the best alternative...

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