Defect Detection Using Shuffle Net-CA-SSD Lightweight Network for Turbine Blades in IoT
H Zhao, Y Gao, W Deng - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Early detection of blade defects is crucial for turbines in Internet of Things (IoT) as it can
prevent failures, minimize downtime, and enhance system reliability. Deep learning-based …
prevent failures, minimize downtime, and enhance system reliability. Deep learning-based …
Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis
This work proposes a new diagnostic method for high-resistance contact (HRC) and bearing
faults in a switched reluctance motor (SRM) on the basis of multisource signal visual fusion …
faults in a switched reluctance motor (SRM) on the basis of multisource signal visual fusion …
DPMSLM Eccentricity Fault Detection Based on Multi-view of Mystery Curve Transformation and Deep Feature Extraction
To detect the eccentricity fault of dual-sided permanent magnet synchronous linear motor
(DPMSLM) and ensure the stable operation of the equipment, a new method based on …
(DPMSLM) and ensure the stable operation of the equipment, a new method based on …