Big Data Methods for Precision Assembly

Industry 4.0 looks at increasing the availability of data, for example, that resulting from an assembly process. This article explores the application of these concepts to a precision assembly task to maximize the yield and machine uptime. Although traditional methods focus on data resulting from assembly, this paper will look at the full scope of available data. In conjunction with a discussion of this data, a model to describe a precision assembly process will be introduced. This model enables long term errors to be detected as well as the identification of trends enabling predictive maintenance.