Predictive analysis are a set of techniques and approaches used to predict future events from historical data and identified patterns. The goal of these analyses is to provide insights and information that help make decisions and anticipate problems.
In the field of maintenance, predictive analysis can be applied to predict equipment failures and problems, allowing action to be taken before unplanned downtime occurs. This is possible by collecting and analyzing data related to equipment performance, such as sensor readings, maintenance logs, failure history and other relevant data.
By applying predictive analysis, companies can take a more proactive approach to maintenance, scheduling interventions before major failures occur. The result is reduced downtime, reduced repair and maintenance costs, improved operational efficiency and increased equipment availability.