Social Interaction-Enabled Industrial Internet of Things for Predictive Maintenance Book Chapter

Roopa, MS, Pallavi, B, Buyya, R et al. (2021). Social Interaction-Enabled Industrial Internet of Things for Predictive Maintenance . 1270 661-673. 10.1007/978-981-15-8289-9_64

cited authors

  • Roopa, MS; Pallavi, B; Buyya, R; Venugopal, KR; Iyengar, SS; Patnaik, LM



  • As Internet of Things (IoT) advances from interacting objects to smart objects. Further, adopting social networking concepts into IoT leads to social objects. Following this conception, the Social Internet of Things (SIoT) comprising the amalgamation of social aspects into IoT was incised. In the recent past, the use of IoT technologies in the industrial sectors and applications has given birth to a new research area termed as the Industrial Internet of Things (IIoT) which has attained notable attention extensively. In machinery-based industries, elements such as bearings, axles, brackets, hangers, etc., are the essential machine element that serves a variety of purposes in the production environment. Thus, any severity related to it causing failure is unfavorable. This paper introduces the SIoT concept into the manufacturing industry for predicting the failure of the machine element before it could occur. This work proposes the construction of the ontological model that assists in the implementation of the prognostics and health management to predict the remaining useful life (RUL) of machine element, which is essential in minimizing maintenance cost and machine downtime, and further limiting disasters.

publication date

  • January 1, 2021

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

start page

  • 661

end page

  • 673


  • 1270