Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules

Christopher Perkins; Andrew P. Longstaff; Simon Fletcher; Peter Willoughby

doi:10.1142/9789814397957_0040

Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules

Christopher Perkins, Andrew P. Longstaff, Simon Fletcher, Peter Willoughby

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Advanced Mathematical and Computational Tools in Metrology and Testing IX
Editors	Franco Pavese, Markus Bär, Jean-Rémy Filtz, Alistair B. Forbes, Leslie Pendrill, Katsuhiro Shirono
Publisher	World Scientific Publishing Co.
Pages	329-333
Number of pages	5
Volume	84
ISBN (Electronic)	9789814397957, 9789814397964
ISBN (Print)	9789814397940
DOIs	https://doi.org/10.1142/9789814397957_0040
Publication status	Published - 1 Mar 2012
Event	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

Publication series

Name	Advances in Mathematics for Applied Sciences
Publisher	World Scientific Publishing Company
Volume	84
ISSN (Print)	1793-0901

Conference

Conference	International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing IX
Abbreviated title	AMCTM 2011
Country/Territory	Sweden
City	Göteborg
Period	20/06/11 → 22/06/11

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10.1142/9789814397957_0040Licence: Unspecified

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Perkins, C., Longstaff, A. P., Fletcher, S., & Willoughby, P. (2012). Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules. In F. Pavese, M. Bär, J-R. Filtz, A. B. Forbes, L. Pendrill, & K. Shirono (Eds.), Advanced Mathematical and Computational Tools in Metrology and Testing IX (Vol. 84, pp. 329-333). (Advances in Mathematics for Applied Sciences; Vol. 84). World Scientific Publishing Co.. https://doi.org/10.1142/9789814397957_0040

Perkins, Christopher ; Longstaff, Andrew P. ; Fletcher, Simon et al. / Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules. Advanced Mathematical and Computational Tools in Metrology and Testing IX. editor / Franco Pavese ; Markus Bär ; Jean-Rémy Filtz ; Alistair B. Forbes ; Leslie Pendrill ; Katsuhiro Shirono. Vol. 84 World Scientific Publishing Co., 2012. pp. 329-333 (Advances in Mathematics for Applied Sciences).

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abstract = "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.",

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Perkins, C, Longstaff, AP , Fletcher, S & Willoughby, P 2012, Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules. in F Pavese, M Bär, J-R Filtz, AB Forbes, L Pendrill & K Shirono (eds), Advanced Mathematical and Computational Tools in Metrology and Testing IX. vol. 84, Advances in Mathematics for Applied Sciences, vol. 84, World Scientific Publishing Co., pp. 329-333, International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing IX, Göteborg, Sweden, 20/06/11. https://doi.org/10.1142/9789814397957_0040

Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules. / Perkins, Christopher; Longstaff, Andrew P.; Fletcher, Simon et al.

Advanced Mathematical and Computational Tools in Metrology and Testing IX. ed. / Franco Pavese; Markus Bär; Jean-Rémy Filtz; Alistair B. Forbes; Leslie Pendrill; Katsuhiro Shirono. Vol. 84 World Scientific Publishing Co., 2012. p. 329-333 (Advances in Mathematics for Applied Sciences; Vol. 84).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Perkins, Christopher

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AU - Willoughby, Peter

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PY - 2012/3/1

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N2 - 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.

AB - 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.

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Perkins C, Longstaff AP , Fletcher S, Willoughby P. Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules. In Pavese F, Bär M, Filtz J-R, Forbes AB, Pendrill L, Shirono K, editors, Advanced Mathematical and Computational Tools in Metrology and Testing IX. Vol. 84. World Scientific Publishing Co. 2012. p. 329-333. (Advances in Mathematics for Applied Sciences). doi: 10.1142/9789814397957_0040

Rate-of-Change Analysis Applied to Machine Tool Monitoring and Maintenance Schedules

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