Abstract Applications of Digital Twin technology have been growing at an exponential rate,
and it is transforming the way businesses operate. In the past few years, Digital Twins …

Context Predictive maintenance is a technique for creating a more sustainable, safe, and
profitable industry. One of the key challenges for creating predictive maintenance systems is …

Abstract Approaches such as Cyber-Physical Systems (CPS), Internet of Things (IoT),
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …

Abstract The Industrial Internet of Things (IIoT) and Digital Twins (DTs) are changing how
digital models and physical products interact. IIoT connects to intelligence in the physical …

As the adoption of Industry 4.0 advances and the manufacturing process becomes
increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new …

Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …

Abstract The Digital Twin (DT) constitutes an integration between cyber and physical spaces
and has recently become a popular concept in smart manufacturing and Industry 4.0. The …

Customer preference-involved product concept evaluation is a vital stage for develo**
new products. One of the key factors in this stage is to mine the potential relationships …

The fourth industrial revolution is a profound transformation utilizing emerging technologies
like smart automation, large-scale machine-to-machine communication, and the internet of …