Information technology using annotation based on design knowledge for smart maintenance of machine components

As information and communication technology develops, more industrial machines and their components are being connected to the cloud and maintenance service providers. In the field of machine maintenance, a transition is occurring from conventional time-based maintenance, in which maintenance is performed at fixed time intervals, to condition-based maintenance (CBM), which is called smart maintenance, using cloud data. For a CBM standard, it is necessary to extract features that indicate changes in the machine condition from collected data. In setting the CBM standard, it is necessary to determine the relationship between the collected data and domain knowledge through a process called data annotation. To introduce an example of data annotation, this paper describes data analysis of experimental data from a gear motor, signal processing, and data annotation with domain knowledge for the smart maintenance of machine components.