As humans are entering the era of Industry 4.0, more and more data are collected online from
machines in operations, thanks to the widely deployed sensors and the advancement of data
collection and transmission technologies. In this lecture, we introduce how to use modern machine
learning and artificial intelligence technologies to mine information regarding the degration and
reliability of the machines from this data collected online and, more importantly, how to effectively
schedule predictive maintenance activities based on this extacted data. We will show some successful
application examples from industry. From these examples, the benefits of applying intelligent
maintenance based on online information will be demonstrated.