Results 121 to 130 of about 407,589 (204)

Hierarchical multi-attention neural networks for sensor fault diagnosis and mitigation in digital twins. [PDF]

Sci Rep
Pan L, Li H, Li X, Bi D, Peng L, Xie Y.
europepmc   +1 more source

SA-ConSinGAN and reservoir computing fusion for accurate bearing fault classification and severity identification using GAF-based techniques. [PDF]

Sci Rep
Shah A, Vakharia V, Kumar Y, Woźniak M, Ijaz MF.   +4 more
europepmc   +1 more source

Identification of gear fault by weighted Mahalanobis distance method based on multi-scale permutation entropy. [PDF]

Sci Rep
Zhou X, Ma N, Zhang J, Liu J.
europepmc   +1 more source

A virtual-structure-based type-3 fuzzy system for predictive sensor and actuator fault detection, compensation, and control in nonlinear systems. [PDF]

Sci Rep
Hong X, Zhakiyev N, Yedilkhan D, Khani A, Mohammadzadeh A, Zhang C.   +5 more
europepmc   +1 more source

Transmission line fault detection and classification using bi-orthogonal wavelet transform (5.5) based signal decomposition. [PDF]

Sci Rep
Chothani N, Sheikh M, Patel D, Singh S, Varshney D, Chan CK, Sonawane C, Bongale A.   +7 more
europepmc   +1 more source

Phase Selection Method for 10 kV Three-Core Cables Under Single-Phase Grounding Fault Transient Based on Surface Magnetic Field Sensing. [PDF]

Sensors (Basel)
Wang H, Weng T, Ding W, Yang S, Xiao Z, Li H, Chen J.   +6 more
europepmc   +1 more source

MSQPSO-Optimized MSCC-CAE for Sensor Fault Detection and Localization in Small Modular Reactors. [PDF]

Sensors (Basel)
Zhang W, Wan X, Li X, He Z, Luo M.
europepmc   +1 more source

State estimator and convolutional neural networks-based fault localization approach for modern grids. [PDF]

Sci Rep
Bhutto JA, Chauhdary ST, Arif S, Niaz A, Alnamasi K, Moinuddin SQ, Alsenan S, Khan MA.   +7 more
europepmc   +1 more source

Recognition of Output-Side Series Arc Fault in Frequency Converter-Controlled Three-Phase Motor Circuit. [PDF]

Sensors (Basel)
Tang A, Wang Z, Gao H, Han C, Guo F.
europepmc   +1 more source

A Review of Fault Diagnosis Methods: From Traditional Machine Learning to Large Language Model Fusion Paradigm. [PDF]

Sensors (Basel)
Nie Q, Geng J, Liu C.
europepmc   +1 more source