[HTML][HTML] A Review of Digital Twinning for Rotating Machinery

V Inturi, B Ghosh, SG Rajasekharan, V Pakrashi - Sensors, 2024 - mdpi.com
This review focuses on the definitions, modalities, applications, and performance of various
aspects of digital twins (DTs) in the context of transmission and industrial machinery. In this …

Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds

Y Li, L Zhang, P Liang, X Wang, B Wang… - Reliability Engineering & …, 2024 - Elsevier
In practical engineering scenarios, the operating speed of mechanical equipment is intricate
and variable. However, much of the existing research on intelligent fault diagnosis is …

A state of the art in digital twin for intelligent fault diagnosis

C Hu, Z Zhang, C Li, M Leng, Z Wang, X Wan… - Advanced Engineering …, 2025 - Elsevier
The intelligent manufacturing and digital technologies have rapidly advanced with the
advent of the industry 4.0 era, placing higher demands on the stability, reliability, and safety …

Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning

K Huang, S Tao, D Wu, C Yang, W Gui - Reliability Engineering & System …, 2024 - Elsevier
In the era of big data, the pervasive use of artificial intelligence (AI) technology has
revolutionized various industries. AI-powered systems, particularly those utilizing data …

Joint optimization of production, inspection, and maintenance under finite time for smart manufacturing systems

X Lv, L Shi, Y He, Z He - Reliability Engineering & System Safety, 2025 - Elsevier
Given the flexible and configurable characteristics of smart manufacturing systems with a
limited time per manufacturing task, the assumption of infinite time for prostems is no longer …

Concurrent fault diagnosis method for electric-hydraulic system: Subsea blowout preventer system as a case study

X Kong, B Cai, JA Khan, L Gao, J Yang, B Wang, Y Yu… - Ocean …, 2024 - Elsevier
Electric-hydraulic control system is widely used in subsea oil and gas drilling and production
equipment because of its excellent performance. Efficient fault diagnosis of electrical control …

Advanced genetic algorithm-based signal processing for multi-degradation detection in steam turbines

M Drosińska-Komor, J Głuch, Ł Breńkacz… - … Systems and Signal …, 2025 - Elsevier
This research contributes to the field of reliability engineering and system safety by
introducing an innovative diagnostic method to enhance the reliability and safety of complex …

A novel optimal sensor placement method for optimizing the diagnosability of liquid rocket engine

M Ma, Z Zhong, Z Zhai, R Sun - Aerospace, 2024 - mdpi.com
There are hundreds of various sensors used for online Prognosis and Health Management
(PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for …

[HTML][HTML] Efficiency-Centered Fault Diagnosis of In-Service Induction Motors for Digital Twin Applications: A Case Study on Broken Rotor Bars

AA Adamou, C Alaoui - Machines, 2024 - mdpi.com
The uninterrupted operation of induction motors is crucial for industries, ensuring reliability
and continuous functionality. To achieve this, we propose an innovative approach that …

Convolutional preprocessing Transformer-based fault diagnosis for rectifier-filter circuits in nuclear power plants

F Wang, T Xiahou, X Zhang, P He, T Yang, J Niu… - Reliability Engineering & …, 2024 - Elsevier
Rectifier-filter circuit, as a vital electronic component in nuclear power plants (NPPs), serves
the role of converting alternating current into smooth direct current. Affected by intense …