Research on Magnetic Field-Based Damage Detection Technology for Ferromagnetic Microwires
H Wang, J Yin, C Xin, C Li, Y Chen - Sensors, 2024 - mdpi.com
Composite materials are frequently exposed to external factors during their operational
service, resulting in internal structural damage which subsequently impacts their structural …
service, resulting in internal structural damage which subsequently impacts their structural …
Multi-view contrastive learning framework for tool wear detection with insufficient annotated data
The tool is an important part of CNC machine tools, and its wear degree affects the operating
efficiency of CNC machine tools. Predicting tool wear can be a challenging task when only …
efficiency of CNC machine tools. Predicting tool wear can be a challenging task when only …
Adaptive fusion transfer learning-based digital multitwin-assised intelligent fault diagnosis
S Liu, Y Qi, L Liu, R Ma, D Li - Knowledge-Based Systems, 2024 - Elsevier
With the development of digital twin technology, mechanical failures can be more
comprehensively described through the interaction between sensors and twin models …
comprehensively described through the interaction between sensors and twin models …
A novel multi-sensor hybrid fusion framework
H Du, Q Wang, X Zhang, W Qian… - … Science and Technology, 2024 - iopscience.iop.org
Multi-sensor data fusion has emerged as a powerful approach to enhance the accuracy and
robustness of diagnostic systems. However, effectively integrating multiple sensor data …
robustness of diagnostic systems. However, effectively integrating multiple sensor data …
[PDF][PDF] Few-shot bearing fault detection based on multi-dimensional convolution and attention mechanism
Y Xu, C Song, C Wang - Mathematical biosciences and engineering, 2024 - aimspress.com
Bearings are critical components of industrial equipment and have a significant impact on
the safety of industrial physical systems. Their failure may lead to equipment shutdown and …
the safety of industrial physical systems. Their failure may lead to equipment shutdown and …
An adaptive strategy for time‐varying batch process fault prediction based on stochastic configuration network
K Liu, X Zhao, Y Hui, H Jiang - Journal of Chemometrics - Wiley Online Library
Fault prediction ensures safe and stable production, and cuts maintenance costs. Due to the
changing operating conditions that lead to the changes in the characteristics of industrial …
changing operating conditions that lead to the changes in the characteristics of industrial …
Digital Twin Information Model and Measured Data Fusion Based Bearing Fault Diagnosis
C Wang, W Pan, C Zhang, Y Huang, C Zhao… - Available at SSRN … - papers.ssrn.com
The bearing is widely applied in industrial scenarios, and its health state dramatically
impacts the stability, reliability, and accuracy of the equipment. Traditional fault diagnosis …
impacts the stability, reliability, and accuracy of the equipment. Traditional fault diagnosis …
[PDF][PDF] Advancing Sensor Data Integrity with Deep Learning-Based Fault Detection
NS Chintaiah, M Vignesh, KVG Charan, M Sanjana… - irjms.com
In the realm of modern data-driven systems, accurate and reliable sensor measurements are
imperative for informed decision-making and system integrity. The objective of this project is …
imperative for informed decision-making and system integrity. The objective of this project is …