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Author:

Zheng, Dingyi (Zheng, Dingyi.) | Fu, Xiuwen (Fu, Xiuwen.) | Liu, Xiangwei (Liu, Xiangwei.) | Xing, Liudong (Xing, Liudong.) | Peng, Rui (Peng, Rui.) (Scholars:彭锐)

Indexed by:

SCIE

Abstract:

Cascading failures are a critical factor affecting the reliability of industrial Internet of things (IIoT) systems. Establishing a realistic cascading failure model is of significant importance for researching and improving the reliability of IIoT. However, existing research on cascading failure modeling for IIoT lacks in-depth exploration of the actual characteristics of industrial scenarios, making it difficult to accurately characterize the cascading failure process in IIoT. In this work, based on the cyber-service coupling characteristic of IIoT systems, we establish a realistic interdependent network model, taking into full consideration the sensing-control data flow, the service community structure, and the diverse coupling patterns. On this basis, a cascading failure model for IIoT is developed, considering the routing-driven characteristic of the cyber network and the production-supply relationships among various manufacturing units in the service network. Extensive experiments are conducted to verify the rationality of the proposed model, and some meaningful findings are also obtained.

Keyword:

Data models reliability industrial Internet of things (IIoT) interdependent network model Sensors Manufacturing Cascading failures Power system faults load distribution Industrial Internet of Things Production Power system protection

Author Community:

  • [ 1 ] [Zheng, Dingyi]Shanghai Maritime Univ, Inst Logist Sci & Engn, Shanghai 201306, Peoples R China
  • [ 2 ] [Fu, Xiuwen]Shanghai Maritime Univ, Logist Engn Coll, Shanghai 201306, Peoples R China
  • [ 3 ] [Liu, Xiangwei]Univ Massachusetts, Dept Elect & Comp Engn, Dartmouth, MA 02747 USA
  • [ 4 ] [Xing, Liudong]Univ Massachusetts, Dept Elect & Comp Engn, Dartmouth, MA 02747 USA
  • [ 5 ] [Peng, Rui]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Peng, Rui]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China;;

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Source :

IEEE TRANSACTIONS ON RELIABILITY

ISSN: 0018-9529

Year: 2024

5 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

Affiliated Colleges:

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