Predictive Maintenance
How Digital Reliability Moves from Maintenance to Performance
In most industrial operations, digital reliability still means one thing: predicting failures before they happen. But as systems mature, that’s no longer enough. The next evolution is about using machine data to drive performance, not just prevention. Seeing…
From Snapshots to Predictive Maintenance: The Time Series Maturity Journey
In most plants, data visibility has improved dramatically. Modern time series databases connect seamlessly with SCADA systems, historians, and operational dashboards, giving teams real-time insight into production. This foundational layer—basic monitoring—has become table stakes in manufacturing.…
A small valve, a big save: what predictive maintenance catches that SOPs miss
Predictive monitoring catches failure modes that standard operating procedures and interlocks cannot: specifically, manual misconfigurations such as a valve left closed after maintenance. On a critical gear pump, IoT sensors detected rising bearing temperature and abnormal…
A Complete Maintenance Team Made of AI Agents — and Why It Changes Everything
A coordinated team of AI agents, developed by GUSTY.ai, can handle the routine friction in industrial maintenance: missed feedback, buried procedures, and stalled Management of Change cycles. According to GUSTY.ai founder Miranda Moonen, organizations adopting this…
AI on the Shop Floor: Turning Predictive Maintenance into Real Results
Predictive maintenance powered by IIoT and AI delivers real results only when frontline workers can act on insights at the machine level. At IIoT World Manufacturing Day 2023, experts confirmed that success depends on how effectively…
Predictive Maintenance with AI: Extending the Life of Industrial Machines
For manufacturers, downtime is costly. Studies show that 82% of industrial asset failures are random, making scheduled maintenance often ineffective. This is where AI-powered predictive maintenance, enabled by IIoT technologies, is changing the way factories care for machines—helping…
Rethinking Predictive Maintenance: Why the Hardest 10% of Industrial Assets Demand a New Class of Sensors
Predictive maintenance has proven its value across most industrial asset classes, but a stubborn 10% of equipment remains nearly impossible to monitor with conventional sensor technology. These are the assets in extreme temperatures, corrosive environments, confined…
From Historical Data to Real-Time Action: Unlocking Industrial Intelligence
Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime. Modern industrial systems continuously generate time-stamped data from sensors, PLCs,…
What’s Changing in Industrial Data Management: Key Takeaways from Hannover Messe 2025
At Hannover Messe 2025, InfluxData CEO Evan Kaplan and HighByte CPO John Harrington discuss how manufacturers are shifting from data collection to data intelligence and what’s required to support that transformation. Below are the most important…
The Role of Predictive Maintenance in Achieving World-Class OEE with IIoT
Achieving world-class Overall Equipment Effectiveness (OEE) is a top priority for manufacturers, yet most facilities operate well below the 85% benchmark that separates leaders from laggards. Predictive maintenance powered by the Industrial Internet of Things (IIoT)…
Choosing the Right Communication Protocol for Industrial IoT
Choosing the right communication protocol is one of the most consequential decisions in any Industrial IoT deployment. The protocol you select determines latency, security posture, interoperability with legacy equipment, and ultimately whether your predictive maintenance or…
Optimizing Energy Efficiency in Manufacturing with Condition Monitoring
Energy costs represent one of the fastest-growing operational expenses in manufacturing, yet most facilities lack visibility into where energy waste actually occurs at the machine level. In this guide, IIoT World explores how condition monitoring, traditionally…