Manufacturers are modernizing maintenance safety with digital workflows, sensors, and risk mitigation technologies that ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Predictive maintenance in the food and beverage industry offers key opportunities by enhancing equipment reliability, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Major market opportunities include the increasing adoption of predictive maintenance, drones, and AI across the mining sector, particularly in Canada and Brazil. Investment in autonomous vehicles is ...

There are many, many definitions for condition-based monitoring (CBM),” says Diego Navarro, global fleet management solutions manager for John Deere Construction and Forestry Division. “Mine is being ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)-- C3 AI (NYSE:AI), the Enterprise AI software company, today announced that Shell has scaled its predictive maintenance program, powered by C3 AI technology, to ...

AUSTIN, Texas--(BUSINESS WIRE)-- NI (NASDAQ: NATI) announced today the launch of ActiveUptime™, its Maintenance-as-a-Service solution for condition monitoring and predictive maintenance of test ...

Find out what the major mechanical, electrical, and user causes of equipment failure are and what types of equipment are more likely to fail. Why reactive maintenance can be so costly. Conducting ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

Sensata’s new solution actively monitors rotary assets for faults using a multi-modal sensor and AI-driven analysis capabilities from Nanoprecise through the Sensata IQ platform. Nanoprecise’s AI ...