Results 131 to 140 of about 35,178 (215)

Wind turbine bearing fault classification identification based on optimized variational mode decomposition and convolutional neural network-bidirectional gated recurrent unit-Attention. [PDF]

Sci Prog
Tang M, Tao Z, Wang C, Wang H, Zhang K, Rao C, Sardor D.   +6 more
europepmc   +1 more source

Explainable Fault Classification and Severity Diagnosis in Rotating Machinery Using Kolmogorov-Arnold Networks. [PDF]

Entropy (Basel)
Rigas S, Papachristou M, Sotiropoulos I, Alexandridis G.   +3 more
europepmc   +1 more source

Investigating the Effect of Vibration Signal Length on Bearing Fault Classification Using Wavelet Scattering Transform. [PDF]

Sensors (Basel)
Janjarasjitt S.
europepmc   +1 more source

Fault detection of taper roller bearings using tunable Q-factor wavelet transform and fault classification using long-short-term memory network. [PDF]

Sci Rep
Anwarsha A, T NB.
europepmc   +1 more source

Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine. [PDF]

ACS Omega
Simiyon A, Sachidanand C, Halmakki Krishnamurthy M, Bhatt AV, Indiran T.   +4 more
europepmc   +1 more source

Transmission Line Fault Classification Based on the Combination of Scaled Wavelet Scalograms and CNNs Using a One-Side Sensor for Data Collection. [PDF]

Sensors (Basel)
Altaie AS, Abderrahim M, Alkhazraji AA.
europepmc   +1 more source

Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI). [PDF]

PLoS One
Bin Akter S, Sarkar Pias T, Rahman Deeba S, Hossain J, Abdur Rahman H.   +4 more
europepmc   +1 more source

Towards a physics-informed network paradigm with data generation and background noise removal for different distributed acoustic sensing applications. [PDF]

Light Sci Appl
Wan Y, Wang H, Yu X, Chen J, Fan X, He Z.   +5 more
europepmc   +1 more source

A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST. [PDF]

Sci Rep
Oda ES, Habib AMM, Elnaghi BE, Mansour NM.   +3 more
europepmc   +1 more source

Hybrid quantum-classical neural networks for real-time fault detection in power systems. [PDF]

PLoS One
Hashmi H, Kumar A, Kuttan SR, Moolchandani J, Goel P, Smerat A, Massebo YA, Hashmi A.   +7 more
europepmc   +1 more source