Predictive maintenance
Predictive maintenance is central to industrial performance
In increasingly automated factories, the struggle against failures and malfunctions of all kinds, even the most unobtrusive, has become a constant priority for manufacturers.
Maintenance experts are the guarantors of equipment availability and reliability. As the only players with a global vision of the production tool, they are central to industrial performance.
Why move to predictive maintenance 4.0?
With Artificial Intelligence, identify optimal thresholds and the relationship between weak signals invisible to the human eye and malfunctions that occur on your equipment
This is what DiagRAMS Technologies offers.
Visual inspectionTechnician’s expertise |
Instrumented inspectionTechnician’s expertise & tool |
Real time monitoring – IoT sensorsAlerts based on manually defined thresholds |
Predictive maintenance |
Predictive maintenance is not new.
Aim?
Establish a maintenance strategy that is based on equipment’s real wear and tear, not on a theoretical life span (preventive maintenance).
There are different levels of monitoring to achieve this goal: visual inspections or instrumented readings but these measurements are one-off and insufficient to appreciate equipment’s continuous state. With IoT sensors, we go one step further and provide real-time tracking of operations with alerts when the technician-defined threshold is exceeded.
Visual inspection
Technician’s expertise
Instrumented inspection
Technician’s expertise & tool
Real time monitoring – IoT sensors
Alerts based on manually defined thresholds
Predictive maintenance
Predictive maintenance is not new.
Aim?
Establish a maintenance strategy that is based on equipment’s real wear and tear, not on a theoretical life span (preventive maintenance).
There are different levels of monitoring to achieve this goal: visual inspections or instrumented readings but these measurements are one-off and insufficient to appreciate equipment’s continuous state. With IoT sensors, we go one step further and provide real-time tracking of operations with alerts when the technician-defined threshold is exceeded.