Book Image

Hands-On Artificial Intelligence for IoT - Second Edition

By : Amita Kapoor
Book Image

Hands-On Artificial Intelligence for IoT - Second Edition

By: Amita Kapoor

Overview of this book

There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence.
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
Index

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...