Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
As a crucial role in the prognostic and health management of mechanical equipment, fault
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …
The Brushless DC motor control system Based on neural network fuzzy PID control of power electronics technology
R Zhang, L Gao - Optik, 2022 - Elsevier
In order to improve The Brushless DC motor control system Based on Particle Swarm
Optimization Algorithm with Improved Inertia Weights development of power electronics …
Optimization Algorithm with Improved Inertia Weights development of power electronics …
[PDF][PDF] Human-computer Interaction Perspectives on Condition Monitoring and Fault Diagnosis of Gearbox in Doubly-Fed Wind Turbines: An Exploration with Artificial …
T Wang, ZH Liu, J Fan - 2024 - cad-journal.net
Monitoring the generator current is a convenient and quick fault detection method to find
motor faults in a timely and convenient manner and maintain the regular operation of the …
motor faults in a timely and convenient manner and maintain the regular operation of the …