Mechanical Fault Diagnosis of High-Voltage Circuit Breakers with Dynamic Multi-Attention Graph Convolutional Networks Based on Adaptive Graph Construction
G Sui, J Yan, Y Wu, Z Xu, M Qi, Z Zhang - Applied Sciences, 2024 - mdpi.com
With the rapid development of deep learning, its powerful capabilities make it possible to
perform mechanical fault diagnosis of high-voltage circuit breakers (HVCBs). Among deep …
perform mechanical fault diagnosis of high-voltage circuit breakers (HVCBs). Among deep …
Processes and Structure of Student Software Engineering Organization at Educational Institution
I Polataiko - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
This paper presents the generic model of a student engineering organization. The model
consists of the optimal structure and processes of the organization. Results of the research …
consists of the optimal structure and processes of the organization. Results of the research …
[PDF][PDF] FAULT DIAGNOSIS OF NATURAL GAS PUMPING UNIT BASED ON MACHINE LEARNING
This paper presents a method for fault detection of natural gas pumping unit. It is a very
difficult object for diagnosis. A lot of combinations of technical equipment, different …
difficult object for diagnosis. A lot of combinations of technical equipment, different …
[PDF][PDF] Software Architecture Design of Software Developed in Student Engineering Teams
I Polataiko - … International Conference on Innovative Solutions in …, 2022 - researchgate.net
This paper presents the process of architecture design of the software, intended for
development in student engineering teams. Software architecture is a primary driver of …
development in student engineering teams. Software architecture is a primary driver of …