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Parkinson, Simon; Longstaff, Andrew P.; Crampton, Andrew; Fletcher, Simon; Allen, Gary; Myers, Alan (2011)
Publisher: Chinese Automation and Computing Society
Languages: English
Types: Part of book or chapter of book
Subjects: TJ, QA75, T1

Classified by OpenAIRE into

ACM Ref: ComputerApplications_COMPUTERSINOTHERSYSTEMS
Machine tool calibration requires a wide range of measurement techniques that can be carried out in many different sequences. Planning a machine tool calibration is typically performed by a subject expert with a great understanding of International standards and industrial best-practice guides. However, it is often the case that the planned sequence of measurements is not the optimal. Therefore, in an attempt to improve the process, intelligent computing methods can be designed for plan suggestion. As a starting point, this paper presents a way of converting expert knowledge into first-order logic that can be expressed in the PROLOG language. It then shows how queries can be executed against the logic to construct a knowledge-base of all the different measurements that can be performed during machine tool calibration.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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