Detection of chatter vibration in a drilling process using multivariate control charts

Amor Messaoud, Claus Weihs and Franz Hering

Computational Statistics & Data Analysis, 2008, vol. 52, issue 6, 3208-3219

Abstract: Time series analysis and multivariate control charts are used to devise a real-time monitoring strategy in a drilling process. The process is used to produce holes with high length-to-diameter ratio, good surface finish and straightness. It is subject to dynamic disturbances that are classified as either chatter vibration or spiralling. A new nonparametric control chart for multivariate processes is proposed. It is used to detect chatter vibration which is dominated by single frequencies. The results showed that the proposed monitoring strategy can detect chatter vibration and that some alarm signals are related to changing physical conditions of the process.

Date: 2008
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