10 Common Machine Fault Types Detected By Machine Health

Despite advances in technology, most maintenance teams still rely on outdated approaches to machine problems. This leaves them unable to detect faults before they cause downtime, production losses, and  equipment repairs.

Machine health solutions, on the other hand, bring together AI, IoT, vibration analytics, and reliability expertise to give teams detailed insights and prescriptive recommendations in real-time.

Here’s what you’ll find inside:

• Tips for advancing to prescriptive maintenance practices and solutions
• The 10 most common fault types, from belt wear to structural mechanical looseness
• Insight into how AI-driven solutions detect issues and help maintenance resolve faults
• Real-world machine health wins that have saved manufacturers time, money, and effort

Transform your maintenance practices

Go deep inside the inner workings of AI-driven machine health solutions to understand how time waveform analysis, spectrum analysis, and vibration signatures reveal machine problems. The ebook is ideal for:

• Plant managers and directors
• Maintenance and reliability teams
• Site engineers
• Asset care managers