Interkulturelle Familientherapie und -beratung

Pirmoradi, Saied

doi:10.13109/9783666401749

Cited by 31 publications

(1 citation statement)

References 43 publications

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“…5,6 FTC has been studied extensively in the literature; [7][8][9][10] however, interest spiked especially in the late 90s and early 2000s, 3,[11][12][13] with applications starting to become prevalent especially in safety-critical systems with the increase in computational power and advancements in sensor technology. 14,15 Today, fault-tolerant systems are widely used in numerous fields including aircrafts, 6,16,17 mechatronics, 18 power plants, 19,20 spacecrafts, [21][22][23][24] and industrial plants producing hazardous materials such as nuclear plants. 25,26 The number of application areas is further increasing as the demand for higher process availability and profitability grows, and tolerance for process failures decreases in industries under smart manufacturing initiatives.…”

Section: Introductionmentioning

confidence: 99%

Integrated Data-Driven Process Monitoring and Explicit Fault-Tolerant Multiparametric Control

Onel

Burnak

Pistikopoulos

2019

Ind. Eng. Chem. Res.

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We propose a novel active fault-tolerant control strategy that combines machine learning based process monitoring and explicit/multiparametric model predictive control (mp-MPC). The strategy features (i) data-driven fault detection and diagnosis models by using the support vector machine (SVM) algorithm, (ii) ranking via a nonlinear, kernel-dependent, SVM-based feature selection algorithm, (iii) data-driven regression models for fault magnitude estimation via the random forest algorithm, and (iv) a parametric optimization and control (PAROC) framework for the design of the explicit/multiparametric model predictive controller. The resulting explicit control strategies correspond to affine functions of the system states and the magnitude of the detected fault. A semibatch process, an example for penicillin production, is presented to demonstrate how the proposed framework ensures smart operation for which rapid switches between a priori computed explicit control action strategies are enabled by continuous process monitoring information.

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