Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …

To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

Smart Manufacturing enterprises emerge as interconnected, geographically distributed, data
driven, and adaptive. While smartness is improved by the integration of information, this also …

In this article, we investigate the asymptotical feedback set stabilization in distribution of
probabilistic Boolean control networks (PBCNs). We prove that a PBCN is asymptotically …

Elevator maintenance plays an important role in the safe and reliable operation of elevators.
However, elevator maintenance is carried under some relevant norms and standards at …

This paper presents an investigation of the optimal estimation of state for Boolean control
networks subject to stochastic disturbances. The disturbances are modeled as …

This paper addresses the issue of PM scheduling for a complex mechanical with different
failure modes. Unlike conventional studies which only consider a single failure mode without …

Abstract In industry 4.0, machines generate a lot of data about several kinds of events that
occur in the production process. This huge quantity of information contains valuable patterns …

Probabilistic Boolean control network (PBCN) is a discrete-time dynamical system
comprised of a collection of Boolean control networks (BCNs) and switching among them in …