Software implementation of the Data-Driven SIMCA method (DD-SIMCA Toolbox)
The article is dedicated to implementation and evaluation of a model for simulation of emergency situations on main gas pipeline. Data produced by model was compared to data obtained from real emergency situations on main gas pipeline. Result of this work is the model built using MATLAB Simulink software that can be used for datasets generation, which are useful for artificial neural networks training.
An approach to modeling is proposed, where the airplane is considered as a system with a minimal set of basic material points, and its mathematical description is given. We construct the mathematical model of the conventional airplane with an adequate accuracy for evaluation calculations in creating the control system. The flight simulation software for the Yak-52 and NG-4 airplanes is developed in MATLAB and the modeling results are analyzed.
Soft independent modeling of class analogy (SIMCA) is one of the OCC methods widely used in chemometrics. The original version, proposed by S. Wold, has numerous modifications mostly related to the way of constructing the acceptance boundaries. Recently, authors proposed the data driven version of SIMCA (DD-SIMCA), which allows to calculate the errors of misclassification theoretically. In this paper, we present DD-SIMCA — a MATLAB GUI tool that extends the MATLAB® environment to provide an easy way for establishment and employment of the data driven SIMCA technique.