Preventive maintenance is the norm for power plants nowadays. To be fully optimized, however, plants need to take things a step further by switching from preventive to predictive maintenance scheduling. One power plant in Gainesville, Florida has already undergone this change to incredible results. Through data-driven algorithms, they were able to predict any shortcomings in their plant, such as certain elements that might cause unplanned shutdowns and fix them prior to them actually becoming a problem. This specific power plant ended up seeing a 50% reduction in the time devoted to troubleshooting suspected problems. One central tenet of predictive maintenance is to be able to identify which elements would be most harmful to the running of the plant if they were to unexpectedly shut down or encounter a problem. Once you know this information, you will be able to prioritize the monitoring of these more sensitive regions of the plant via software. Through monitoring, you can find out about issues before they become hazardous and provide maintenance proactively.
The conclusion is that optimizing power plants not only will lead to an increase in the efficiency of the powerplant, but it will also help to save money as maintenance will no longer be preventive but rather correct the issues before trouble arises, saving generators downtime and minimizing losses.