Results 1 to 10 of about 22,860 (267)

Automated Battery Making Fault Classification Using Over-Sampled Image Data CNN Features. [PDF]

Sensors (Basel), 2023
Din NU, Zhang L, Yang Y.
europepmc   +1 more source

Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset. [PDF]

Sensors (Basel), 2022
Swana EF, Doorsamy W, Bokoro P.
europepmc   +1 more source

Improving Fault Classification Accuracy Using Wavelet Transform and Random Forest with STATCOM Integration

EAI Endorsed Transactions on Energy Web
INTRODUCTION: Fault detection in transmission lines is critical for keeping the grid stable and reliable. This research offers a new methodology, the Wavelet Transform-Enhanced Random Forest Fault Classification System with STATCOM Integration (WERFCS-SI)
Shradha Umathe, Prema Daigavane, Manoj Daigavane   +2 more
doaj   +1 more source

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification. [PDF]

Sensors (Basel), 2022
Mochammad S, Noh Y, Kang YJ, Park S, Lee J, Chin S.   +5 more
europepmc   +1 more source

Dynamic Noise Reduction with Deep Residual Shrinkage Networks for Online Fault Classification. [PDF]

Sensors (Basel), 2022
Salimy A, Mitiche I, Boreham P, Nesbitt A, Morison G.   +4 more
europepmc   +1 more source

BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node

Jixie chuandong, 2016
In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes
Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong   +4 more
doaj  

Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. [PDF]

Front Artif Intell, 2021
Vidyaratne L, Carpenter A, Powers T, Tennant C, Iftekharuddin KM, Rahman MM, Shabalina AS.   +6 more
europepmc   +1 more source

A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. [PDF]

Sensors (Basel), 2022
Toma RN, Piltan F, Im K, Shon D, Yoon TH, Yoo DS, Kim JM.   +6 more
europepmc   +1 more source

A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors. [PDF]

Sensors (Basel), 2021
Toma RN, Piltan F, Kim JM.
europepmc   +1 more source

Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors. [PDF]

Sensors (Basel), 2022
Attestog S, Senanayaka JSL, Van Khang H, Robbersmyr KG.   +3 more
europepmc   +1 more source