Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Shiva Bhardwaj, like many forward-thinking leaders, believes the future success of the transportation industry lies in predictive maintenance. And for good reason. A maintenance operation that ...

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 ...

Most facilities already have the monitoring tools needed for predictive maintenance; the key is actively reviewing and interpreting the data. Electrical failures often develop gradually through trends ...

The benefit comes from combining cycle counts and process monitoring data from the historian database instead of relying on hours-based scheduling methods. Manufacturers should move beyond hours-based ...

Predictive maintenance (PdM) is transforming power plant operations by leveraging artificial intelligence (AI), data analytics, and automation to prevent costly equipment failures. Learn about ...

How sensors are driving predictive maintenance. How maintenance is traditionally performed and the importance of moving to a data-driven approach. An overview of how sensors are the eyes and ears of ...

The chip industry is starting to add technology that can predict impending failures early enough to stave off serious problems, both in manufacturing and in the field. Engineers increasingly are ...

Daniel Penn Associates recently asked members of LinkedIn’s Association of Asset Management Professionals Group “What is the maintenance strategy that you use the most with your organization?” The ...

RFID is not a new technology, so professionals have discovered many of its practical applications. However, while several industries rely on it for asset tracking, relatively few have deployed it to ...