MultiScale PLS Modeling for Industrial Process Monitoring

Innovative Techniques for Industrial Process Modeling and Monitoring

Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application

Projection to latent structures (PLS)model has beenwidely used in quality-related processmonitoring, as it can establish amapping relationship between process variables and quality index variables. To enhance the adaptivity of PLS, kernel PLS (KPLS) as an advanced version has been proposed for nonlinear processes. In this paper, we discuss a new total kernel PLS (T-KPLS) for nonlinear quality-r...

Detection of Process Model Change in Pls Based Performance Monitoring

The detection of process changes using a partial least squares (PLS) based monitoring scheme can be achieved through the interrogation of two metrics, Hotelling's 2 T and the Q-statistic. The Q-statistic has been shown to be insensitive to small changes in the process model parameters. In this paper, a modified statistic based on the local approach is proposed to detect changes in the model par...

Monitoring Unresolved Scales in Multiscale Turbulence Modeling

This paper extends the two-level Variational MultiScale (VMS) method for Large-Eddy Simulation, introduced by Hughes et al. [Comput. Visual. Sci., 3:47–59 (2000)], to a threelevel approach that clarifies the role of unresolved scales of motion on the resolved scales. It is shown that the multi-scale framework does not obviate modeling on the large-scales, but that VMS allows for different model...

Multiscale Modeling of Hvof Thermal Spray Process

The major physicochemical processes involved in an industrial HVOF thermal spray process (Diamond Jet hybrid gun, Sulzer Metco, Westbury, NY) are studied by a comprehensive multiscale model. The model includes continuum type differential equations that describe the dynamics of gas phase and particles of different sizes, and a rule-based stochastic simulator that predicts the evolution of coatin...