-
-
Comment:
Precise determination of the RUL of components will allow to replace them before their status degrades production equipment performances beyond unacceptable levels.
-
Comment:
Reducing failure rates and production equipment unavailability will improve factory productivity.
-
Comment:
PROGRAMS solutions will allow a more widespread adoption of predictive maintenance as a result of the demonstration of more accurate, secure and trustworthy techniques at component, machine and system level. In fact one of the biggest obstacles is getting people to change long-held maintenance practices. PROGRAMS will:
- Demonstrate that, when correctly applied, the LCC of machines and components actually decreases when using PdM based technology, while the machine availability increases.
- Provide an easy to install solution able to detect the deterioration of performance (at component, machine and system level) and manage maintenance accordingly.
- Implement SotA security layers, showing that the security of maintenance data transmission methods is on par with widespread and accepted communication protocols, like the ones used for e-commerce.
-
-
-
Comment:
PROGRAMS solution will increase accident mitigation capability”
- Component failures will be reduced by optimal maintenance strategies and analysis of real sensor data coupled with physically-based models .
- Maintenance efficiency will be increased by precisely pinpointing the components whose deterioration is or will impairing the system performance.
- PROGRAMS will allow to identify design problems or faulty components batches by comparing initial FMECA analysis with updated reliability information.
- A plant wide network will constantly update employees on maintenance activities and components degraded performances.
- The automatic tuning of control parameters will mitigate the impact of a damaged/worn components until maintenance can restore them to their optimal conditions.
PROGRAMS solution will allow to gain a “10% increased in-service efficiency through reduced failure rates, downtime due to repair, unplanned plant or production system outages and extension of component life.”
•reduced failure rates:- analysis of real sensor data coupled with physically-based models allows to understand the real status of system components
- optimal maintenance strategies allows to perform maintenance before components crash
•reduced downtime due to repair:- precise determination of components RUL will allow to replace/repair components before critical downtime
- smart maintenance strategies allow to minimize maintenance impact on the production activities
•reduced unplanned plant/production system interruptions:- repair or replace of components before crash will lead to less unexpected components breakage
- rationalized maintenance crews deployments will reduce the number of unavailable spare parts or maintenance teams.
- shared maintenance information will reduce time for reacting to unplanned outages.
•extension of component lifeAll these aspects will reduce the costs related to maintenance activities, thus increasing the sustainability of the production process.