By some estimates, unscheduled downtime costs manufacturers $50 billion every year
. While preventive maintenance plans significantly decrease this unplanned downtime, they can’t prevent every breakdown, and often result in wasted parts and services.
Predictive maintenance leverages the Internet of Things (IoT) to close this gap by collecting real-time data and detecting abnormal performance. Connected sensors analyze: vibrations, temperature, acoustics, speed, and other factors, analyzing it against historical failure patterns and optimum performance levels. This ensures manufacturers can catch early warning signs to predict and prevent breakdowns.
For Original Equipment Manufacturers (OEMs) and system integrators, equipping machinery with connected sensors is key to reducing downtime, decreasing operating costs, creating safer workplaces, and extending the life of critical assets.
Here’s how IoT predictive maintenance is changing various industries today, and how EMnify can help you add connectivity to your equipment.