OilSafe Predictive maintenance from an Industry 4.0 standpoint
Frequency prior to the breakdown
- Up to 10 times the return on initial investments made
- -45% reduction of downtime
- +25% increase in productivity
- -30% reduction of maintenance costs
- A properly functioning predictive program can offer savings of 8-12% compared to a preventive strategy and 40-45% when compared to reactive maintenance.
Predictive maintenance is a type of preventive maintenance that is carried out following the identification of one or more parameters that are measured with the aim of identifying the remaining time prior to the breakdown occurs. It is strictly linked to Industry 4.0. By identifying the incipient faults early, this enables a better management of operation and maintenance activities, therefore avoiding important repercussions of both an economic and environmental nature.
OilSafe¸ a pioneer in the predictive maintenance sector, is capable of guaranteeing its customers an all-round service, thanks to the internal support of its oil analysis laboratory. For this reason, recovery operations are planned and carried out, scheduled after having carried out analyses on the lubricant fluid on OilSafe premises. These activities, supported by the OilSafe oil monitoring system and by real-time-generated data, can appropriately assess the remaining service life of the individual characteristics of the fluid being tested.
OilSafe is capable of verifying and foreseeing well in advance all the problems that are likely to occur. An appropriately-functioning predictive maintenance schedule can result in significant savings, exceeding 10%, when compared to a preventive strategy and, up to 50% when compared to a reactive maintenance programme.
What advantages does a predictive maintenance system bring?
The systematic approach to the condition monitoring, implemented by means of OilSafe predictive maintenance services, makes it possible to achieve different kinds of savings:
It enables cost control and reduction. Action is taken only where and when necessary
It makes it possible to measure the performance of the plant and to carry out maintenance activities only when actually required
Greater energy saving can be achieved
The service life of machinery and plants can be both extended and maximised
For these reasons, it is necessary to implement new and more innovative strategies based on predictive actions alongside the traditional maintenance practices. The analysis of the conditions of machinery makes it possible to effectively direct the maintenance technicians to the part of the machinery that needs to be repaired. The final result achieved is the optimisation of the economic resources and the improvement of the Overall Economic Efficiency index (OEE).