The OSA summarizes the concepts we discussed previously in a single picture. In the Prescriptive analytics section, we highlighted how CBM is one of the most valuable aspects of I-IoT analytics and how it can support insights from descriptive analytics all the way through to prescriptive analytics. The OSA for CBM is depicted as follows:

The OSA for CBM is the most popular framework. It consists of six layers—Data Acquisition, Signal Processing, Condition Monitoring, Health Assessment, Prognostics, and Decision Support. All of these steps can be implemented in a cloud-based architecture and partially on-premises, as explained in the previous sections. In particular, signal processing and condition monitoring can be implemented by using on-stream analytics or, generally speaking, rule-based engines. The health assessment and prognostics phases, however, require advanced analytics based on ML or physics-based models. The last step can use either on-demand analytics or a big data query.