Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

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 ...

We promote a paradigm shift from traditional models,» begins Nicandro Buono, CEO of the startup eMomentum. «Classical predictive maintenance focuses mainly on the remaining useful life of ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

Treon, a leading industrial IoT company, today announced that Treon Flow solution for Material Handling, a cloud-native, ...

A detailed look at predictive maintenance engineering, mechanical system reliability, and Rutvikkumar Patel’s role in strengthening mission-critical infrastructure across global industrial sectors.

Every day, every CNC program, every sensor reading, every tool change, every quality inspection report contributes to a ...

I-care announces the completion of a $23.2 million fundraising and refinancing operation, carried out as a round reserved for existing shareholders and employees. Based on this operation, the group's ...

In this study, Human+Machine refers to an operating model where people, data, AI, and physical assets function as a single ...