Abstract
This chapter focuses on the remaining useful life (RUL) prediction of rotating machinery. It first gives an explicit description to the concept of RUL prediction and illustrates the major processes of the RUL prediction. Then, two categories of RUL prediction methods, that is, data-driven methods and model-based methods are discussed in details, respectively. In the section of data-driven methods, the commonly strategy of this kind of methods is explained. And a relevance vector machine based prediction method is described as an example. In the section of model-based methods, the classification of the models is first introduced. Then, three prediction methods are described in details, which are based on the exponential model, polynomial model, and Paris–Erdogan model, respectively. By the end of the chapter, the prospects of the RUL prediction for rotating machinery are provided.
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