Condition monitoring of industrial robots and concept for prognostics

In this paper the basics of robotics and its condition monitoring as well as general, conceptual level prognostics is discussed. The focus of prognostics is on statistical methods without direct connection to robotics. The operational state at the robots is typically non-constant since in practice there are no constant states available. For non-constant time series, like this, the usage of data segmentation and overlapping method grabs better the part of the data that should be analysed. The process performance itself can be monitored with enveloped vibration based resemblance of the process path. The prognostic concept is based on statistical review of available maintenance data. The future reliability of a component can be estimated with the demonstrated concept. The concept was done on a Windows Excel spreadsheet.