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 ...

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

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

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

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

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

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

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...