Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices

NH Abd Wahab, K Hasikin, KW Lai, K Xia, L Bei… - PeerJ Computer …, 2024 - peerj.com
Background Maintaining machines effectively continues to be a challenge for industrial
organisations, which frequently employ reactive or premeditated methods. Recent research …

Recent Developments in Vibration Analysis: An Innovative Way to Improve Machine Reliability

O Fahlovi, G Kurnia, H Setyawan - International Journal of …, 2024 - journal.gpp.or.id
Maintaining machine health is crucial for optimizing operational efficiency and minimizing
downtime in industrial applications. This paper explores recent advancements in vibration …

Digital Twins in Business Logistics

S Güzelcaliskan - 2024 - essay.utwente.nl
While decision-making can be difficult, digital twins offer an effective solution by bridging the
gap between reality and digital modelling through virtual duplication of the real world …

Estudo Big-Data da Influência dos Parâmetros do Tratamento Térmico na Qualidade da Peça na Renault

BRR dos Santos - 2023 - search.proquest.com
Currently, with the growth of industry, companies tend to be increasingly competitive with the
goal of obtaining a product with better quality, less waste and at a lower price. To make this …

[引用][C] Temporal Fusion Network for Noisy Long-Time Series Industrial Data Processing

G Li, D Meng, J Chen, N Xia, C Kong - Journal of Circuits, Systems …, 2025 - World Scientific
(GRU) for modeling long-term dependencies. This approach effectively mitigates the
influence of high noise and overcomes the limitations of DCNN algorithms in handling long …