867
Views
31
CrossRef citations to date
0
Altmetric
Original Article

Modeling and monitoring methods for spatial and image data

References

  • Aceto, G., A. Botta, W. De Donato, and A. Pescapè. 2013. Cloud monitoring: A survey. Computer Networks 57 (9):2093–2115.
  • ASME Y14.5-2009 - Dimensioning and Tolerancing.
  • Banerjee, S., B. P. Carlin, and A. E. Gelfand. 2004. Hierarchical Modeling and Analysis for Spatial Data. Boca Raton, FL: Chapman & Hall/CRC Press.
  • Baur, C., and D. Wee. 2015. Manufacturing's Next Act. McKinsey & Company.
  • Bharati, M. H., and J. F. MacGregor. 1998. Multivariate image analysis for real-time process monitoring and control. Industrial & Engineering Chemistry Research 37 (12):4715–4724.
  • Brettel, M., N. Friederichsen, M. Keller, and M. Rosenberg. 2014. How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Industrial Science and Engineering 8 (1):37–44.
  • Chiang, L. H., E. L. Russell, and R. D. Braatz. 2000. Fault Detection and Diagnosis in Industrial Systems. Springer Science & Business Media.
  • Colosimo, B. M., and M. Pacella. 2007. On the use of principal component analysis to identify systematic patterns in roundness profiles. Quality and Reliability Engineering International 23 (6):707–725.
  • Colosimo, B. M., Q. Semeraro, and M. Pacella. 2008. Statistical process control for geometric specifications: on the monitoring of roundness profiles. Journal of Quality Technology 40 (1):1.
  • Colosimo, B. M., and M. Pacella. 2010. A comparison study of control charts for statistical monitoring of functional data. International Journal of Production Research 48 (6):1575–1601.
  • Colosimo, B. M., and M. Pacella. 2011. Analyzing the effect of process parameters on the shape of 3D profiles. Journal of Quality Technology 43 (3):169.
  • Colosimo, B. M., F. Mammarella, and S. Petro. 2010. Quality control of manufactured surfaces. In Frontiers in Statistical Quality Control, ed. H. Lenz, P. Wilrich, and W. Schmid, 55–70. Physica-Verlag HD.
  • Colosimo, B. M., P. Cicorella, M. Pacella, and M. Blaco. 2014. From profile to surface monitoring: SPC for cylindrical surfaces via Gaussian Processes. Journal of Quality Technology 46 (2):95.
  • Colosimo, B. M., M. Pacella, and N. Senin. 2015. Multisensor data fusion via Gaussian process models for dimensional and geometric verification. Precision Engineering 40:199–213.
  • Cressie, N. 2015. Statistics for Spatial Data. John Wiley & Sons.
  • Cressie, N., and C. K. Wikle. 2015. Statistics for Spatio-temporal Data. John Wiley & Sons.
  • Del Castillo, E., B. M. Colosimo, and S. D. Tajbakhsh. 2015. Geodesic Gaussian processes for the parametric reconstruction of a free-form surface. Technometrics 57 (1):87–99.
  • Ding, Y., L. Zeng, and S. Zhou. 2006. Phase I analysis for monitoring nonlinear profiles in manufacturing processes. Journal of Quality Technology 38 (3):199.
  • Dryden, I. L., and K. V. Mardia. 2016. Statistical Shape Analysis: With Applications in R. John Wiley & Sons.
  • Ganesan, R., T. K. Das, and V. Venkataraman. 2004. Wavelet-based multiscale statistical process monitoring: A literature review. IIE Transactions 36 (9):787–806.
  • Gibson, I., D. W. Rosen, and B. Stucker. 2010. Additive Manufacturing Technologies. vol. 238. New York: Springer.
  • Grasso, M., P. Pennacchi, & B. M. Colosimo 2014. Empirical mode decomposition of pressure signal for health condition monitoring in waterjet cutting. The International Journal of Advanced Manufacturing Technology 72 (1–4):347–364.
  • Grasso, M., B. M. Colosimo, Q. Semeraro, and M. Pacella. 2015. A comparison study of distribution‐free multivariate SPC methods for multimode data. Quality and Reliability Engineering International 31 (1):75–96.
  • Grasso, M., S. Chatterton, P. Pennacchi, and B. M. Colosimo. 2016. A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis. Mechanical Systems and Signal Processing 81:126–147.
  • Grasso, M., A. Menafoglio, B. M. Colosimo, and P. Secchi. 2016. Using curve-registration information for profile monitoring. Journal of Quality Technology 48 (2):99.
  • Grasso, M., B. M., Colosimo, & F. Tsung 2016. A phase I multi-modelling approach for profile monitoring of signal data. International Journal of Production Research:1–24.
  • Grasso, M., V. Laguzza, Q. Semeraro, and B. M. Colosimo. 2017. In-process monitoring of selective laser melting: spatial detection of defects via image data analysis. Journal of Manufacturing Science and Engineering 139 (5):051001.
  • Grasso, M., and B. M. Colosimo. 2017. Process defects and In-situ monitoring methods in metal powder bed fusion: a review. Measurement Science and Technology 28 (4):044005.
  • Grasso, M., A. G. Demir, B. Previtali, and B. M. Colosimo. 2018. In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume. Robotics and Computer-Integrated Manufacturing 49:229–239.
  • Guo, W., J. J. Jin, and S. J. Hu. 2016. Profile Monitoring and Fault Diagnosis via Sensor Fusion for Ultrasonic Welding. In ASME 2016 11th International Manufacturing Science and Engineering Conference (pp. V002T04A028-V002T04A028). American Society of Mechanical Engineers.
  • Hall, D. L., and J. Llinas. 1997. An introduction to multisensor data fusion. Proceedings of the IEEE 85 (1):6–23.
  • Hazen, B. T., C. A. Boone, J. D. Ezell, and L. A. Jones-Farmer. 2014. Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics 154:72–80.
  • Jazdi, N. 2014. Cyber physical systems in the context of Industry 4.0. In Automation, Quality and Testing, Robotics. 2014 IEEE International Conference on (pp. 1–4). IEEE.
  • Jin, J., and J. Shi. 1999. Feature-preserving data compression of stamping tonnage information using wavelets. Technometrics 41 (4):327–339.
  • Jin, J., and J. Shi. 2001. Automatic feature extraction of waveform signals for in-process diagnostic performance improvement. Journal of Intelligent Manufacturing 12 (3):257–268.
  • Jolliffe, I. T. 2002. Principle Component Analysis, Second Edition. Springer Series in Statistics. Springer.
  • Jones-Farmer, L. A., J. D. Ezell, and B. T. Hazen. 2014. Applying control chart methods to enhance data quality. Technometrics 56 (1):29–41.
  • Kliejnen, J., and E. Mehdad. 2012. Kriging in multi-response simulation including a Monte Carlo Laboratory. CentER Discussion Paper, Tilburg University, Netherlands. Available at http://ssrn.com/abstract=2060891.
  • Kruth, J. P., M. Bartscher, S. Carmignato, R. Schmitt, L. De Chiffre, and A. Weckenmann. 2011. Computed tomography for dimensional metrology. CIRP Annals-Manufacturing Technology 60 (2):821–842.
  • Lesage, J., and R. K. Pace. 2009. Introduction to Spatial Econometrics. Boca Raton, FL: Chapman and Hall/CRC.
  • Lee, J., B. Bagheri, and H. A. Kao. 2015. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters 3:18–23.
  • Liu, M., C. F. Cheung, C. H. Cheng, and W. B. Lee. 2016. A Gaussian process data modelling and maximum likelihood data fusion method for multi-sensor CMM measurement of freeform surfaces. Applied Sciences 6 (12):409.
  • Malshe, A., K. Rajurkar, A. Samant, H. N. Hansen, S. Bapat, and W. Jiang. 2013. Bio-inspired functional surfaces for advanced applications. CIRP Annals-Manufacturing Technology 62 (2):607–628.
  • Mani, M., et al. 2015. Measurement science needs for real-time control of additive manufacturing powder bed fusion processes. NIST Report 8036.
  • Megahed, F. M., W. H. Woodall, and J. A. Camelio. 2011. A review and perspective on control charting with image data. Journal of Quality Technology 43 (2):83.
  • Megahed, F. M., L. J. Wells, J. A. Camelio, and W. H. Woodall. 2012. A spatiotemporal method for the monitoring of image data. Quality and Reliability Engineering International 28 (8):967–980.
  • Megahed, F. M., and L. A. Jones-Farmer. 2015. Statistical perspectives on “big data”. In Frontiers in Statistical Quality Control, vol. 11:29–47. Springer International Publishing.
  • Miyamoto, Y., W. A. Kaysser, B. H. Rabin, A. Kawasaki, and R. G. Ford. (Eds.) 2013. Functionally Graded Materials: Design, Processing and Applications. vol. 5. Springer Science & Business Media.
  • Noorossana, R., A. Saghaei, and A. Amiri. 2011. Statistical Analysis of Profile Monitoring. vol. 865. John Wiley & Sons.
  • Paynabar, K., J. Jin, and M. Pacella. 2013. Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis. IIE Transactions on Quality and Reliability Engineering 45 (11):1235–1247.
  • Paynabar, K., J. Jin, and M. Reed. 2014. Informative sensor and feature selection via hierarchical non-negative garrote. Technometrics, 57 (4):514–523.
  • Pacella, M., and B. M. Colosimo. 2016. Multilinear principal component analysis for statistical modeling of cylindrical surfaces: a case study. Quality Technology & Quantitative Management 1–19.
  • Qian, Z., C. C. Seepersad, V. R. Joseph, J. K. Allen, and C. J. Wu. 2006. Building surrogate models based on detailed and approximate simulations. Journal of Mechanical Design 128 (4):668–677.
  • Qian, P. Z., and C. J. Wu. 2008. Bayesian hierarchical modeling for integrating low-accuracy and high-accuracy experiments. Technometrics 50 (2):192–204.
  • Qiu, P., C. Zou, and Z. Wang. 2010. Nonparametric profile monitoring by mixed effects modeling. Technometrics 52 (3):265–277.
  • Qiu, P. 2005. Image Processing and Jump Regression Analysis. vol. 599. John Wiley & Sons.
  • Qiu, P., and P. S. Mukherjee. 2010. Edge structure preserving image denoising. Signal Processing 90 (10):2851–2862.
  • Repossini, G., V. Laguzza, M. Grasso, and B. M. Colosimo. 2017. On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion. Additive Manufacturing 16:35–48.
  • Rüßmann, M., M. Lorenz, P. Gerbert, M. Waldner, J. Justus, P. Engel, and M. Harnisch. 2015. Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. Boston Consulting Group 9.
  • Senin, N., B. M. Colosimo, and M. Pacella. 2013. Point set augmentation through fitting for enhanced ICP registration of point clouds in multisensor coordinate metrology. Robotics and Computer-Integrated Manufacturing 29 (1):39–52.
  • Shao, C., K. Paynabar, T. H. Kim, J. Jin, J. Hu, P. Spicer, H. Wang, and J. Abell. 2013. Feature selection for manufacturing process monitoring using cross-validation. Journal of Manufacturing Systems 32 (4):550–555.
  • Steinberg, D. M. 2016. Industrial statistics: The challenges and the research. Quality Engineering 28 (1):45–59.
  • Suriano, S., H. Wang, C. Shao, S. J. Hu, and P. Sekhar. 2015. Progressive measurement and monitoring for multi-resolution data in surface manufacturing considering spatial and cross correlations. IIE Transactions 47 (10):1033–1052.
  • Tapia, G., and A. Elwany. 2014. A review on process monitoring and control in metal-based additive manufacturing. Journal of Manufacturing Science and Engineering 136 (6):060801.
  • Turner, H., J. White, J. A. Camelio, C. Williams, B. Amos, and R. Parker. 2015. Bad parts: Are our manufacturing systems at risk of silent cyberattacks? IEEE Security & Privacy 13 (3):40–47.
  • Wang, J., L. Pagani, R. K. Leach, W. Zeng, B. M. Colosimo, and L. Zhou. 2017. Study of weighted fusion methods for the measurement of surface geometry. Precision Engineering 47:111–121.
  • Wang, A., K. Wang, and F. Tsung. 2014. Statistical surface monitoring by spatial-structure modeling. Journal of Quality Technology 46 (4):359.
  • Wang, L., M. Törngren, and M. Onori. 2015. Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems 37 (Part 2):517–527.
  • Weckenmann, A., X. Jiang, K. D. Sommer, U. Neuschaefer-Rube, J. Seewig, L. Shaw, and T. Estler. 2009. Multisensor data fusion in dimensional metrology. CIRP Annals-Manufacturing Technology 58 (2):701–721.
  • Wells, L. J., F. M. Megahed, C. B. Niziolek, J. A. Camelio, and W. H. Woodall. 2013. Statistical process monitoring approach for high-density point clouds. Journal of Intelligent Manufacturing 24 (6):1267–1279.
  • Weese, M., W. Martinez, F. M. Megahed, and L. A. Jones-Farmer. 2016. Statistical learning methods applied to process monitoring: An overview and perspective. Journal of Quality Technology 48 (1):4.
  • Wells, L. J., J. A. Camelio, C. B. Williams, and J. White. 2014. Cyber-physical security challenges in manufacturing systems. Manufacturing Letters 2 (2):74–77.
  • Woodall, W. H., D. J. Spitzner, D. C. Montgomery, and S. Gupta. 2004. Using control charts to monitor process and product quality profiles. Journal of Quality Technology 36 (3):309.
  • Woodall, W. H. 2007. Current research on profile monitoring. Production 17 (3):420–425.
  • Xia, H., Y. Ding, and J. Wang. 2008. Gaussian process method for form error assessment using coordinate measurements. IIE Transactions 40 (10):931–946.
  • Xia, H., Y. Ding, and B. K. Mallick. 2011. Bayesian hierarchical model for combining misaligned two-resolution metrology data. IIE Transactions 43 (4):242–258.
  • Xing, C., and P. Qiu. 2011. Intensity-based image registration by nonparametric local smoothing. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (10):2081–2092.
  • Yan, H., K. Paynabar, and J. Shi. 2016. Anomaly detection in images with smooth background via smooth-sparse decomposition. Technometrics 59(1):102–114.
  • Yang, Q., and J. Jin. 2012. Separation of individual operation signals from mixed sensor measurements. IIE Transactions on Quality and Reliability Engineering 44 (9):780–792.
  • Yin, S., S. X. Ding, X. Xie, and H. Luo. 2014. A review on basic data-driven approaches for industrial process monitoring. IEEE Transactions on Industrial Electronics 61 (11):6418–6428.
  • Yoon, S., and J. F. MacGregor. 2004. Principal‐component analysis of multiscale data for process monitoring and fault diagnosis. AIChE Journal 50 (11):2891–2903.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.