The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...

Electric motors are among the most widely deployed electromechanical systems in modern technology, powering everything from handheld tools and autonomous robots to industrial pumps and electric ...

THIEF RIVER FALLS, Minn., Oct. 8, 2026 /PRNewswire/ -- DigiKey, the global distribution leader of electronic components and ...

Success in Formula One isn’t just about the driver—it’s also about the performance of the technical team. Not long ago, teams could only learn what was happening under the hood during a pit stop.

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric ...

Predictive maintenance is replacing schedule-based and route-based maintenance by using continuous asset monitoring to detect problems earlier, reduce downtime and avoid unnecessary maintenance. The ...

Keywords: Asset Management, Artificial Intelligence (AI), Industrial AI, Predictive Maintenance (PdM), Asset Performance Management (APM), Analytics, Machine Learning (ML), Generative AI (GenAI), ...

Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.

For the industrial manufacturers, unplanned downtime continues to be a major concern. ARC estimates that unplanned downtime costs the industrial and manufacturing sector over a trillion dollars a year ...