A New Approach for System Malfunctioning over an Industrial System Control Loop Based on Unsupervised Techniques

Abstract

Systems optimization is one of the great challenges to improve the industry plants performance. From an economical point of view, a proper optimization means, among others, energy, material and maintenance savings. Furthermore, the quality of the final product is improved. So fault detection techniques development plays a very important role to achieve the system optimization. Under this topic, the present research shows the developed work over a real common system, the level control. A new proposal based on unsupervised techniques were used to detect the system malfunction states, taking into account a dataset collected during the right operation. The proposal is validated with ad-hoc created faults for the different system operation points. The performance is very satisfactory in general terms.