An In-Depth Study of Vibration Sensors for Condition Monitoring

IU Hassan, K Panduru, J Walsh - Sensors, 2024 - mdpi.com
Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …

Developing cyber-physical system and digital twin for smart manufacturing: Methodology and case study of continuous clarification

S Banerjee, NG Jesubalan, A Kulkarni… - Journal of Industrial …, 2024 - Elsevier
Biopharmaceutical production has recently begun transitioning toward the construction of
highly advanced, digitalised production facilities, as per Industry Revolution 4.0 or smart …

Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review

G Yu, X Ye, X Xia, YQ Chen - Sustainable Cities and Society, 2024 - Elsevier
Public charging infrastructure developments are the top agenda in both industrialised and
developing countries during the global transition from fossil fuel vehicles to electric vehicles …

Graph-enabled cognitive digital twins for causal inference in maintenance processes

KYH Lim, TS Yosal, CH Chen, P Zheng… - … Journal of Production …, 2024 - Taylor & Francis
The increasing complexity of industrial systems demands more effective and intelligent
maintenance approaches to address manufacturing defects arising from faults in multiple …

[HTML][HTML] Agile digital machine development

JP de Oliveira Hansen, ER da Silva, A Bilberg - Computers in Industry, 2024 - Elsevier
In mechatronic machine design and development, it is no longer enough to think about
machine functionality and integration as machines are increasingly digitalized. Virtual …

Towards a Digital Predictive Maintenance (DPM): Healthcare Case Study

M Gallab, I Ahidar, N Zrira, N Ngote - Procedia Computer Science, 2024 - Elsevier
This paper presents a global approach for implementing Digital Predictive Maintenance
(DPM), based on the principles of the digital industry. The proposed approach is applicable …

Abnormal Situation Management in Chemical Processes: Recent Research Progress and Future Prospects

S Liu, F Lei, D Zhao, Q Liu - Processes, 2023 - mdpi.com
In the chemical process, abnormal situations are precursor events of incidents and
accidents. Abnormal situation management (ASM) can effectively identify abnormalities and …

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 …

Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)

D Molinié, K Madani, V Amarger, A Chebira - Machine Learning and …, 2023 - mdpi.com
This paper introduces a non-parametric methodology based on classical unsupervised
clustering techniques to automatically identify the main regions of a space, without requiring …

[HTML][HTML] A Review on Fault Detection and Diagnosis of Industrial Robots and Multi-axis Machines

AH Sabry, UABU Amirulddin - Results in Engineering, 2024 - Elsevier
Industrial Robots and Multi-axis Machines have become increasingly popular in recent
years, in a diverse range of industries. These complex and expensive machines are …