Analyzing phased-mission industrial network systems with multiple ordered performance levels

ABSTRACT

An industrial network system consists of small, inexpensive nodes equipped with embedded processors and wireless communication, which enables flexible deployment in the industrial applications. Multiple phases are natural in many practical industrial network systems which further have multiple ordered performance levels. The networking needs of industrial devices and applications are distinct from the consumer world, especially in terms of reliability and security. The modeling and analysis of phased-mission industrial network systems remains a challenging task due to its inherent complexity. This paper proposes a new decision-diagram-based method, called multiple-terminal binary decision diagrams (MTBDD), for the analysis of phased-mission industrial network system with multiple ordered performance levels. Various performability measures are considered. Application and advantages of the proposed method are demonstrated through examples and case study. Empirical results show that our method can offer smaller model sizes and more efficient computation of reliability and performance measures as compared to the traditional separable approach.

KEYWORDS:

• Industrial network system
• phased-mission system
• multiple-terminal decision diagram
• performability analysis

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant [61572442]; Program for Innovative Research Team in Science and Technology in Fujian Province University, and Quanzhou High-Level Talents Support Plan under Grant [2017ZT012].

Notes on contributors

Yu-Huan Gong

Yu-Huan Gong is an associate professor in the School of Marxism at Huaqiao University, China. He received his M.S. degrees in School of Humanities and Social Sciences from the Harbin Institute Of Technology, China. Her research activities include industrial sociology and risk analysis & management.

Yu-Chang Mo

Yu-Chang Mo is currently a Distinguished Professor with the School of Mathematical Sciences, Huaqiao University, Quanzhou, China. He received the B.E. (2002), M.S. (2004), and Ph.D. (2008) degrees in Computer Science from Harbin Institute of Technology, Harbin, China. His present research interests include the reliability analysis of complex systems and networks using combinatorial models. His research has been supported by the National Science Foundation of China.

Yu Liu

Yu Liu is currently a Professor with School of Mechatronics Engineering, University of Electronic Science and Technology of China. He received the Ph.D. degree in mechatronics engineering from the University of Electronic Science and Technology of China, Chengdu, China in 2010. His research interests include system reliability modeling and analysis, maintenance decisions, prognostics and health management, and design under uncertainty.

Yi Ding

Yi Ding is a currently Professor in the College of Electrical Engineering, Zhejiang University (ZJU), China. He received the B.E. degree from Shanghai Jiaotong University, Shanghai, China, in 2000, and the Ph.D. degree from Nanyang Technological University (NTU), Singapore, in 2007, both in electrical engineering. His research areas include power system planning and reliability evaluation, smart grid and complex system risk assessment.