Following to the series of the O&M post, we will talk now about the third type of the O&M
Predective Maintenance.
Predictive Maintenance is a condition-based intervention carried out following a forecast derived from the analysis and evaluation of the significant parameters of the degradation of an item.
The site must have “intelligent”
equipment and an appropriate monitoring software system, allowing the Operations team to perform regular monitoring, supervision, forecast and performance data analysis of the main equipment of the PV plant.
Predictive maintenance cannot exist without condition monitoring.
Machines conduct continuous monitoring in real working conditions to ensure asset optimization. As with any maintenance strategy, predictive maintenance aims to:
– Reduce breakdown occurrence and maximize asset uptime by improving asset reliability.
– Optimize operational costs by lowering maintenance work.
– Improve maintenance budgets by reducing maintenance costs and by maximizing production time.
The studies conducted so far about predective maintenance have demonstrated the efficacy of current techniques and the general solution framework which could be applied to the
different components within the PV plant.
Finally, the development of a holistic predictive maintenance strategy will require inputs and expertise from many different actors involved in the PV industry, from manufacturers to developers, operators, and researchers.
For this reason, it is crucial to encourage collaboration in research and development activities between all sectors in order to deliver the solutions that meet the industry’s needs.
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