The quality control chart for monitoring multivariate autocorrelated processes
Computational Statistics & Data Analysis
Editorial: Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis
Computational Statistics & Data Analysis
Optimization designs of the combined Shewhart-CUSUM control charts
Computational Statistics & Data Analysis
Surveillance of the covariance matrix based on the properties of the singular Wishart distribution
Computational Statistics & Data Analysis
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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.