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

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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

Doug Dilley, Parker Aerospace Group vice president of services and support operations (left), and Mark Mourani, Parker's vice president of global commercial aftermarket. Credit: Parker Aerospace Doug ...

The era of reactive “break‑and‑fix” maintenance in heavy industry is giving way to smart, data‑driven strategies. Across automotive assembly lines and steel plants, unscheduled stoppages are brutally ...

Predictive maintenance, driven by routine vibration measurements, plays a crucial role in extending the life of rotating machinery. Machinery is often one of the largest, if not the largest, capital ...

Predictive maintenance success depends on more than just data collection—it requires accurate interpretation, expert engineering input, and alignment between digital insights and real plant conditions ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

The waste collection industry generated $69 billion in revenue in 2024, accounting for over two-thirds of the total US waste and recycling revenue. Logistics is the cornerstone of this industry, given ...

The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...