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In recent years, considerable research efforts have been applied in the field of fault prognostics. However, to the authors knowledge, there are few published works that address complete and systematic methods describing the steps required to develop data-driven prognostics approaches for complex systems. This paper presents a generic component-based prognostics methodology that can be customized for different applications and which can be useful for new researchers and engineers. The paper is divided into two parts. The first part provides a description of the procedures required before constructing data-driven prognostics, such as identifying critical components, selecting physical parameters to monitor, choosing monitoring sensors and defining the data acquisition system. The second part presents a novel data-driven prognostic method for direct remaining useful life (RUL) prediction. This method relies …