MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

Real-time asset health and work management integration closes the gap between detection and repair–creating a seamless, closed-loop reliability workflow. CINCINNATI, Ohio, 8, 2025 – Waites Sensor ...

As aging infrastructure and rising costs challenge traditional methods, IoT and smart technologies are paving the way for ...

The maritime industry stands at a digital crossroads. Over the past decade, the conversation has evolved from seeing shipping ...

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...

Odysight.ai Inc. (NASDAQ: ODYS), a leader in AI-powered visual sensing and Predictive Maintenance (PdM) technologies, today announced that its next generation of high-temperature sustainable optical ...

Abstract: This study focuses on the criticality of failure detection and condition-based maintenance (CBM) within the semiconductor industry, employing Fault Detection and Classification (FDC) systems ...

Abstract: Predictive maintenance involves proactive monitoring and prediction of equipment failures to optimize maintenance schedules to minimize downtime, reduce losses, and ensure optimal equipment ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...