Explore how Hybrid-AI is advancing predictive maintenance for industrial equipment in this upcoming webinar, where we’ll examine how physics-based failure-mode models and data-driven AI can be combined into an explainable hybrid approach, helping your team detect more failure modes earlier, prioritize evidence-backed diagnoses, and move from alerts to confident, prescriptive action.
As spring turns to summer, diesel engines lose their margin for error and studies show that up to 50% of premature engine failures are still linked to cooling system issues. A proactive coolant analysis program is the key to catching problems like additive depletion and contamination before they escalate into costly failures.
A subtle change in vibration was the only early warning, but it was enough to make a major difference. By acting on advanced diagnostics and continuous condition monitoring, a fertilizer plant in France avoided unplanned downtime and saved 9,300 tons of production. This case study shows how early detection, paired with expert analysis, turns potential failure into operational advantage.
Nicolas Bourdier, Khalid Achtal, Miguel Fernandez Sanz, Peter Popaleny
Discover how Artesis leverages ESA, machine learning, digital twins, and Generative AI to deliver expert-level diagnostics instantly, no specialist required. In this webinar, you’ll learn how these technologies work together to automate fault detection, improve reliability, and transform maintenance efficiency through real case examples and a live demo.
Effective asset management starts with clear identification—and that's where equipment tag numbering comes into play. In industrial settings, especially where reliability and maintenance data are critical, standardized equipment tagging isn’t just helpful—it’s essential.
Maintenance is more than just fixing what’s broken—it's a strategic discipline that directly impacts uptime, cost efficiency, safety, and asset longevity. With increasing pressure on operational performance, selecting the right maintenance strategy for each asset is no longer optional—it’s essential.
RYAM, a global leader in sustainable cellulose specialties and paper products, partnered with KCF Technologies to implement predictive maintenance using the Machine Health Platform. By shifting from reactive to proactive maintenance, RYAM achieved measurable benefits such as reducing downtime, improving equipment reliability, and cutting maintenance costs while furthering their commitment to sustainability.
Acoem's Precision Maintenance Toolbox Video Series is a comprehensive resource designed to help maintenance professionals improve their technical skills and knowledge. Hosted by Acoem technical trainer Stan Riddle, the series provides step-by-step guidance on essential tools and techniques used in industrial maintenance.
In this SME interview, we talk with Paul Daly of Sensoteq about the market sections in Australia that embrace condition monitoring, what maintenance challenges they face there and what Australian customers are looking for.
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