A functional data analysis approach for the monitoring of ship CO2 emissions
Christian Capezza; Fabio Centofanti; Antonio Lepore; Biagio Palumbo
Abstract
Keywords
Referências
Bersimis, S., Sgora, A., & Psarakis, S. (2018). The application of multivariate statistical process monitoring in non-industrial processes.
Bocchetti, D., Lepore, A., Palumbo, B., & Vitiello, L. (2015). A statistical approach to ship fuel consumption monitoring.
Bosq, D. (2012).
Capezza, C., Centofanti, F., Lepore, A., Menafoglio, A., Palumbo, B., & Vantini, S. (2021).
Capezza, C., Coleman, S., Lepore, A., Palumbo, B., & Vitiello, L. (2019). Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data.
Capezza, C., Lepore, A., Menafoglio, A., Palumbo, B., & Vantini, S. (2020). Control charts for monitoring ship operating conditions and CO emissions based on scalar-on-function regression.
Cardot, H., Ferraty, F., & Sarda, P. (2003). Spline estimators for the functional linear model.
Centofanti, F., Lepore, A., Menafoglio, A., Palumbo, B., & Vantini, S. (2020). Functional regression control chart.
Colosimo, B. M., & Pacella, M. (2007). On the use of principal component analysis to identify systematic patterns in roundness profiles.
Colosimo, B. M., & Pacella, M. (2010). A comparison study of control charts for statistical monitoring of functional data.
De Boor, C., De Boor, C., Mathématicien, E.-U., De Boor, C., & De Boor, C. (1978).
Erto, P., Lepore, A., Palumbo, B., & Vitiello, L. (2015). A procedure for predicting and controlling the ship fuel consumption: its implementation and test.
Eubank, R. L. (1999).
Grasso, M., Colosimo, B. M., & Tsung, F. (2017). A phase I multi-modelling approach for profile monitoring of signal data.
Grasso, M., Menafoglio, A., Colosimo, B. M., & Secchi, P. (2016). Using curve-registration information for profile monitoring.
Green, P. J., & Silverman, B. W. (1993).
Gu, C. (2013).
Horváth, L., & Kokoszka, P. (2012).
Hsing, T., & Eubank, R. (2015).
Jin, J., & Shi, J. (1999). Feature-preserving data compression of stamping tonnage information using wavelets.
Jolliffe, I. (2011).
Kokoszka, P., & Reimherr, M. (2017).
Lehmann, E. L., & Romano, J. P. (2006).
Lepore, A., Palumbo, B., & Capezza, C. (2019). Orthogonal LS-PLS approach to ship fuel-speed curves for supporting decisions based on operational data.
Lowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts.
Mandel, B. (1969). The regression control chart.
Menafoglio, A., Grasso, M., Secchi, P., & Colosimo, B. M. (2018). Profile monitoring of probability density functions via simplicial functional PCA with application to image data.
Montgomery, D. C. (2007).
Nomikos, P., & MacGregor, J. F. (1995). Multivariate SPC charts for monitoring batch processes.
Noorossana, R., Saghaei, A., & Amiri, A. (2012).
Pini, A., & Vantini, S. (2017). Interval-wise testing for functional data.
Pini, A., Vantini, S., Colosimo, B. M., & Grasso, M. (2018). Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data.
R Core Team. (2020).
Ramsay, J. O., & Silverman, B. W. (2005).
Shang, H. L. (2014). A survey of functional principal component analysis.
Wahba, G. (1990).
Woodall, W. H., Spitzner, D. J., Montgomery, D. C., & Gupta, S. (2004). Using control charts to monitor process and product quality profiles.