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[HTML][HTML] Rolling bearing fault diagnosis across operating conditions based on unsupervised domain adaptation
In practical industrial scenarios, mechanical equipment frequently operates within dynamic
working conditions. To address the challenge posed by the incongruent data distribution …
working conditions. To address the challenge posed by the incongruent data distribution …
[HTML][HTML] Enhancing anomaly detection models for industrial applications through SVM-based false positive classification
J Qiu, H Shi, Y Hu, Z Yu - Applied Sciences, 2023 - mdpi.com
Unsupervised anomaly detection models are crucial for the efficiency of industrial
applications. However, frequent false alarms hinder the widespread adoption of …
applications. However, frequent false alarms hinder the widespread adoption of …
[HTML][HTML] Instantaneous square current signal analysis for motors using vision transformer for the fault diagnosis of rolling bearings
F Chen, X Zhou, B Xu, Z Yang, Z Qu - Applied Sciences, 2023 - mdpi.com
Using vibration signals for bearing fault diagnosis can generally achieve good diagnostic
results. However, it is not suitable for practical industrial applications due to the restricted …
results. However, it is not suitable for practical industrial applications due to the restricted …
[HTML][HTML] Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients
Y Huang, W Liu, S Li, Y Guo, W Chen - Applied Sciences, 2023 - mdpi.com
A crucial area of study in data mining is outlier detection, particularly in the areas of network
security, credit card fraud detection, industrial flaw detection, etc. Existing outlier detection …
security, credit card fraud detection, industrial flaw detection, etc. Existing outlier detection …
Machine learning-based fault diagnosis for three-phase induction motors in ventilation systems
Induction motors are crucial in industrial drive systems and nuclear and radiological facilities
due to their durability and ease of maintenance. Even though the systems are reliable, they …
due to their durability and ease of maintenance. Even though the systems are reliable, they …
[PDF][PDF] Torque and dq axis current dynamics of an inverter fed induction motor drive that leverages computational intelligent techniques
S Chirantan, BB Pati - AIMS Electronics and Electrical Engineering, 2024 - aimspress.com
Torque and dq axis current dynamics of an inverter fed induction motor drive that leverages
computational intelligent technique Page 1 AIMS Electronics and Electrical Engineering, 8(1) …
computational intelligent technique Page 1 AIMS Electronics and Electrical Engineering, 8(1) …
Enhanced Condition Monitoring of Low Voltage Motors in Harsh Environments with Ladybug Beetle Optimization and Context-Aware Graph Convolutional Networks
P Rajasekar, PP Tiwari, L Sharmila… - 2024 4th …, 2024 - ieeexplore.ieee.org
Low voltage motors are essential in many applications in contemporary industrial settings,
as they power machines and guarantee efficient operations. However, these motors often …
as they power machines and guarantee efficient operations. However, these motors often …
[PDF][PDF] ПОВЫШЕНИЕ ЭНЕРГОЭФФЕКТИВНОСТИ АСИНХРОННЫХ ДВИГАТЕЛЕЙ
ТМ Черникова, ВВ Дабаров, АК Каченков - ТЕХНИКА, 2024 - journals.kuzstu.ru
Важнейшей задачей при использовании асинхронных двигателей, в том числе в горной
промышленности, является выбор наиболее оптимального способа повышения их …
промышленности, является выбор наиболее оптимального способа повышения их …