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Monitoring of the BTA Deep Hole Drilling Process Using Residual Control Charts

Author

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  • Weihs, Claus
  • Theis, Winfried
  • Messaoud, Amor
  • Hering, Franz

Abstract

Deep hole drilling methods are used for producing holes with a high lengthto- diameter ratio, good surface finish and straightness. The process is subject to dynamic disturbances usually classified as either chatter vibration or spiralling. In this work, we propose to monitor the BTA drilling process using control charts to detect chatter as early as possible and to secure production with high quality. These control charts use the residuals obtained from a model which describes the variation in the amplitude of the relevant frequencies of the process. The results showed that chatter is detected and some alarm signals are related to changing physical conditions of the process.

Suggested Citation

  • Weihs, Claus & Theis, Winfried & Messaoud, Amor & Hering, Franz, 2004. "Monitoring of the BTA Deep Hole Drilling Process Using Residual Control Charts," Technical Reports 2004,60, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200460
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    References listed on IDEAS

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    1. Alwan, Layth C & Roberts, Harry V, 1988. "Time-Series Modeling for Statistical Process Control," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(1), pages 87-95, January.
    2. Hering, Franz & Weihs, Claus & Theis, Winfried & Messaoud, Amor, 2004. "Application and Use of Multivariate Control Charts In a BTA Deep Hole Drilling Process," Technical Reports 2004,30, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Theis, Winfried & Webber, Oliver & Weihs, Claus, 2004. "Statistics, dynamics and quality: Improving BTA-deep-hole drilling," Technical Reports 2004,06, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
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    Cited by:

    1. Messaoud, Amor & Weihs, Claus & Hering, Franz, 2004. "A Nonparametric Multivariate Control Chart Based on Data Depth," Technical Reports 2004,61, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Hering, Franz & Weihs, Claus & Theis, Winfried & Messaoud, Amor, 2004. "Application and Use of Multivariate Control Charts In a BTA Deep Hole Drilling Process," Technical Reports 2004,30, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

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