A Physics-Guided Reversible Residual Neural Network Model: Applied to Build Forward and Inverse Models for Turntable Servo System
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3200668
Abstract: To satisfy the application requirements of the forward/inverse model for various control algorithms used in servo systems, a physics-guided reversible residual neural network (PGRRNN) model is proposed, which is applied to build forward/inverse model for… read more here.
Keywords: forward inverse; network; physics; reversible residual ... See more keywords
A Reversible Residual Network-Aided Canonical Correlation Analysis to Fault Detection and Diagnosis in Electrical Drive Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3348900
Abstract: To ensure the safety of electrical drive systems, fault detection and diagnosis (FDD) has become an active approach over the past two decades. Multivariate analysis is a popular method in FDD, among which canonical correlation… read more here.
Keywords: reversible residual; diagnosis; electrical drive; drive systems ... See more keywords