References
- Bader, B. W., & Kolda, T. G. (2006). Algorithm 862: Matlab tensor classes for fast algorithm prototyping. ACM Transactions on Mathematical Software, 32, 635–653.
- Colosimo, B. M., Cicorella, P., Pacella, M., & Blaco, M. (2014). From profile to surface monitoring: SPC for cylindrical surfaces via Gaussian processes. Journal of Quality Technology, 46, 95–113.
- Colosimo, B. M., Mammarella, F., & Petro’, S. (2010). Quality control of manufactured surfaces. In H. J. Lenz & P. T. Wilrich (Eds.), Frontiers of statistical quality control (pp. 55–70). London: Springer.
- Colosimo, B. M., & Pacella, M. (2007). On the use of principal component analysis to identify systematic patterns in roundness profiles. Quality and Reliability Engineering International, 23, 707–725.
- Colosimo, B. M., & Pacella, M. (2010). A comparison study of control charts for statistical monitoring of functional data. International Journal of Production Research, 48, 1575–1601.
- Colosimo, B. M., & Pacella, M. (2011). Analyzing the effect of process parameters on the shape of 3D profiles. Journal of Quality Technology, 43, 169–195.
- Colosimo, B. M., Pacella, M., & Semeraro, Q. (2008). Statistical process control for geometric specifications: On the monitoring of roundness profiles. Journal of Quality Technology, 40, 1–18.
- Colosimo, B.M., & Senin, N. (Eds.). (2011). Geometric tolerances. Impact on product design, quality inspection and statistical process monitoring. London: Springer.
- Dowling, M. M., Griffin, P. M., Tsui, K.-L., & Zhou, C. (1997). Statistical issues in geometric feature inspection using coordinate measuring machines. Technometrics, 39, 3–17.
- Henke, R. P., Summerhays, K. D., Baldwin, J. M., Cassou, R. M., & Brown, C. W. (1999). Methods for evaluation of systematic geometric deviations in machined parts and their relationships to process variables. Precision Engineering, 23, 273–292.
- ISO. (2012). Geometrical product specifications (GPS) -- Geometrical tolerancing -- Tolerances of form, orientation, location and run-out. ISO 1101:2012. Geneva: Author.
- Jolliffe, I. T. (2002). Principal component analysis. Springer series in statistics. New York, NY: Springer.
- Kolda, T. G. (2001). Orthogonal tensor decompositions. SIAM Journal of Matrix Analysis and Applications, 23, 243–255.
- Lathauwer, L. D., Moor, B. D., & Vandewalle, J. (2000a). A multilinear singular value decomposition. SIAM Journal of Matrix Analysis and Applications, 21, 1253–1278.
- Lathauwer, L. D., Moor, B. D., & Vandewalle, J. (2000b). On the best rank-1 and rank-(R1,R2,…RN) approximation of higher-order tensors. SIAM Journal of Matrix Analysis and Applications, 21, 1324–1342.
- Lathauwer, L. D., & Vandewalle, J. (2004). Dimensionality reduction in higher-order signal processing and rank-(R1,R2,…RN) reduction in multilinear algebra. Linear Algebra and its Applications, 391, 31–55.
- Lu, H., Plataniotis, K. N., & Venetsanopoulos, A. N. (2008). MPCA: Multilinear principal component analysis of tensor objects. IEEE Transactions on Neural Networks, 19, 18–39.
- Lu, H., Plataniotis, K. N., & Venetsanopoulos, A. N. (2009). Uncorrelated multilinear principal component analysis for unsuper-vised multilinear subspace learning. IEEE Transactions on Neural Networks, 20, 1820–1836.
- Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519–530.
- Nomikos, P., & MacGregor, J. F. (1995). Multivariate SPC charts for monitoring batch processes. Technometrics, 37, 41–59.
- Noorossana, R., Saghaei, A., & Amiri, A. (Eds.). (2011). Statistical analysis of profile monitoring. New York, NY: Wiley.
- Paynabar, K., Jin, J., & Pacella, M. (2013). Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis. IIE Transactions, 45, 1235–1247.
- Paynabar, K., Zou, C., & Qiu, P. (2016). A change point approach for phase-I analysis in multivariate profile monitoring and diagnosis. Technometrics, 58, 191–204.
- Summerhays, K. D., Henke, R. P., Baldwin, J. M., Cassou, R. M., & Brown, C. W. (2002). Optimizing discrete point sample patterns and measurement data analysis on internal cylindrical surfaces with systematic form deviations. Precision Engineering, 26, 105–121.
- Yan, H., Paynabar, K., & Shi, J. (2015). Image-based process monitoring using low-rank tensor decomposition. IEEE Transactions on Automation Science and Engineering, 12, 216–227.