In high-value manufacturing, production equipment is often calibrated on a regular basis to ensure it remains within the required absolute tolerance. However, this go/no go approach means that data relating to the rate of change of the condition of the asset is often lost or overlooked. This data can provide valuable insight into the current state of the machine, and provide estimates of when maintenance will be required to maintain the present level of performance. Analyzing the rate of decay of certain machine capabilities can assist with optimisation of maintenance schedules, allow the cost of replacement parts to be reduced or spread out, and give more reliable estimates of machine availability. The reasons for the loss of this data and a proposed design of a system to capture it are discussed here.
|Title of host publication
|Advanced Mathematical and Computational Tools in Metrology and Testing IX
|Franco Pavese, Markus Bär, Jean-Rémy Filtz, Alistair B. Forbes, Leslie Pendrill, Katsuhiro Shirono
|World Scientific Publishing Co.
|Number of pages
|Published - 1 Mar 2012
|International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing IX - Chalmers University of Technology, Göteborg, Sweden
Duration: 20 Jun 2011 → 22 Jun 2011
Conference number: 9
|Advances in Mathematics for Applied Sciences
|World Scientific Publishing Company
|International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing IX
|20/06/11 → 22/06/11