Digital twins (DTs) represent an emerging technology that is currently leveraging the
monitoring of complex systems, the implementation of autonomous control systems, and …

Digital twins are a significant way to achieve fault detection of various smart manufacturing,
which provide a new paradigm for complex industrial process monitoring. Wastewater …

Accurate life and reliability prognosis are critical goals pursued by structural digital twin
modeling. However, prognosis of in-service structures subject to uncertainties from both …

Digital Twin (DT) is a concept of growing interest, driven by the technological advancements
related to Industry 4.0. DT combines innovative technologies to create a virtual model …

The train electro-pneumatic (EP) valve is a crucial driving component in the electronically-
controlled pneumatic (ECP) brake system and directly affects the reliability of brake …

This paper develops a physics-informed machine learning approach for response prediction
in dynamic systems, by augmenting a physics-based model with a machine learning model …

A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed to
accurately calculate the modal responses and identify the damage ratios of the offshore …

Modeling technology is both the core and the difficulty of digital twin. In response to this
challenge, a digital twin framework based on dynamic model is proposed and applied to …

In this paper, a probabilistic high and low cycle fatigue (H-LCF) life prediction framework is
proposed to consider random load history into fatigue life prediction of structures. First, the …

The literature on fatigue analysis can be classified into parametric or analytic approaches
that try to model the fatigue data with a specific distribution, such as the optimal sequential …