Price: [price_with_discount]
(as of [price_update_date] – Details)
[ad_1]
Predictive Maintenance with Machine Learning: A Practical Guide
Learn how predictive maintenance and machine learning can make your equipment run better, last longer, and save money! This guide dives into using machine learning and Industrial IoT (IIoT) tools to predict when machines might break down—before they do. By spotting problems early, you can reduce costly downtime, keep production running smoothly, and stay ahead in today’s fast-paced world.
This book shows how real-time predictive analytics can help you improve your maintenance process. Get insights on the differences between preventive and predictive maintenance, and discover how Industry 4.0 tools allow businesses to see problems before they arise. You’ll learn practical strategies to boost equipment health and make smarter maintenance decisions, all by using machine learning models for maintenance.
With real-world examples and predictive maintenance case studies, this guide highlights how sensors and data can transform how you care for your equipment. You’ll explore smart maintenance strategies that keep machines working longer and save money by reducing the need for repairs. Plus, you’ll learn the basics of preparing data for machine learning, helping you get accurate, reliable insights from your data.
Get started with failure prediction algorithms that help you catch issues early, schedule repairs, and avoid unexpected breakdowns. This guide covers the fundamentals, from data preprocessing to choosing the best machine-learning models for your needs. Whether you are new to these tools or looking to expand your skills, this book offers practical tips for real-time data analysis and predictive maintenance that keep everything running efficiently. It is perfect for anyone who wants to modernize maintenance and make smarter, data-driven choices to keep things running smoothly and reliably.
ASIN : B0DM58SHTN
Language : English
File size : 19.9 MB
Simultaneous device usage : Unlimited
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 354 pages
Best Sellers Rank: #357,202 in Kindle Store (See Top 100 in Kindle Store) #850 in Security & Encryption eBooks #1,433 in Applications & Software eBooks #1,658 in Computer Security
Customer Reviews: 5.0 5.0 out of 5 stars 1 rating var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
[ad_2]
