Title: Fault detection and behavioural prediction of a constrained complex system using cellular automata

Authors: R. Priya; Elizabeth Sherly

Addresses: Department of Computer Science, University of Kerala, Trivandrum, Kerala, India ' School of Computer Science and Information Technology, Indian Institute of Information Technology and Management-Kerala, Trivandrum, Kerala, India

Abstract: Functionality-based failure analysis and validation during design process in a constrained complex system is challenging. In this paper, we advocate a model to validate the functionality of a constrained complex control system with its structural behaviour. An object constrained model is proposed for validation of any component of a complex system with constraints and its state of safeness is predicted using cellular automata. The model consists of two sub-systems; an inference engine that functions based on rule-based expert system and a failure forecast engine based on cellular automata. The system is tested against the thermal power plant for early detection of failure in the system which enhances the process efficiency of power generation.

Keywords: complex system; constrained objects; cellular automata; control system; prediction engine; failure forecast engine.

DOI: 10.1504/IJCSE.2018.096028

International Journal of Computational Science and Engineering, 2018 Vol.17 No.4, pp.411 - 421

Received: 09 Feb 2016
Accepted: 26 Jul 2016
Published online: 09 Nov 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article