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 ...

Success in operational readiness is all about the data collection. When predictive maintenance systems are integrated with ...

Members pictured from left to right. The concept of predictive maintenance is familiar to anyone who has owned a car—you regularly have the vehicle inspected, change fluids, replace tires, change ...

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 ...

Time and again, malfunctions in devices inside a building like HVAC, elevator, refrigeration, and other building systems can lead to severe operational disruption, resulting in increasing maintenance ...

Predictive maintenance needs to be more than mere prediction to be effective—it needs to link to specific MRO actions. Credit: Lufthansa Technik Big data, the Internet of Things, digital twinning and ...

Toyota Motor Corp. is no different than any other company. Like the rest, the automaker wants maximum uptime at the least cost possible. But it differs from many manufacturers in that it has an ...

Burlington, Massachusetts / / December 6, 2025 / Alpha Software Deloitte has highlighted that poor maintenance strategies can reduce a plant’s productive capacity by 5-20%, with unplanned downtime ...

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 ...

The electric vehicle (EV) industry is experiencing a significant transformation, and AI-powered predictive analytics are at the forefront of change. By leveraging sophisticated algorithms and machine ...