Implementing a Digital Twin – Advanced Analytics
In the previous chapter, we investigated some of the most interesting classes and use cases to do with IIoT analytics. We discovered that an analytic can be descriptive, diagnostic, predictive, or prognostic. We also mentioned the remaining useful life (RUL) of an asset or part within IIoT.
In this chapter, we will improve our knowledge of IIoT analytics, discover the concept of digital twins, and use more advanced technologies based on machine learning (ML) and deep learning (DL).
In this section, we will explore the following:
- Digital twins
- Artificial intelligence (AI), ML, and DL
- Practical examples with ML algorithms and a physics-based algorithm
- Platforms on which to build digital twins
