[HTML][HTML] Digital Twin: Benefits, use cases, challenges, and opportunities
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 …
and it is transforming the way businesses operate. In the past few years, Digital Twins …
[HTML][HTML] Predictive maintenance using digital twins: A systematic literature review
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 …
profitable industry. One of the key challenges for creating predictive maintenance systems is …
[HTML][HTML] Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
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 …
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …
Data mining in predictive maintenance systems: A taxonomy and systematic review
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 …
type of maintenance to perform on various industrial systems. This aim involves maximizing …
[HTML][HTML] Digital Twins and Industrial Internet of Things: Uncovering operational intelligence in 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 …
digital models and physical products interact. IIoT connects to intelligence in the physical …
The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0
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 …
increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new …
Data-driven implicit design preference prediction model for product concept evaluation via BP neural network and EEG
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 …
new products. One of the key factors in this stage is to mine the potential relationships …
[HTML][HTML] A predictive maintenance model using long short-term memory neural networks and Bayesian inference
D Pagano - Decision Analytics Journal, 2023 - Elsevier
The fourth industrial revolution is a profound transformation utilizing emerging technologies
like smart automation, large-scale machine-to-machine communication, and the internet of …
like smart automation, large-scale machine-to-machine communication, and the internet of …
An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning
K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …
commodities. For continuous production, the industry relies significantly on machinery and …