Editorial for IJPHM Special Issue on Data-driven Diagnostics in Rotating Machines

Abstract

Rotating machines are essential in numerous sectors, including railways, energy, and robotics. However, a generalized approach for consistent monitoring across different systems remains challenging. This special issue aims to enhance the generalization and application of data-driven diagnostic methods to diverse systems, emphasizing their robustness.

Rotating machines are essential in numerous sectors, including railways, energy, and robotics. These machines exhibit unique degradation patterns and critical components that require monitoring. Despite the existence of various fault detection and diagnostic methods in current literature, only few techniques that effectively consider the different data sources and variable operating conditions are published. Furthermore, a generalized approach for consistent monitoring across different systems remains challenging. Thus, this special issue aims to enhance the generalization and

application of these methods to diverse systems, emphasizing their robustness.