FPGA implementation of a bearing fault classification system based on an envelope analysis and artificial neural network
Y Toumi, B Bengherbia, S Lachenani… - Arabian Journal for …, 2022 - Springer
Bearings are one of the most widely used components of rotary machines. To keep these
bearings running in the best condition, several techniques for the early diagnosis of faults …
bearings running in the best condition, several techniques for the early diagnosis of faults …
[HTML][HTML] Prevention of the Fracture Problem Occurring in Automotive Alternator Heatsink Blocks Using Artificial Intelligence
In this study, prevention of fracture in vibration fatigue testing of automotive alternator
heatsink blocks was investigated using an artificial neural network. Automotive components …
heatsink blocks was investigated using an artificial neural network. Automotive components …
Neural Network Technology for Electrical Fire Early Warning System
L Yu - International Conference on Innovative Computing, 2023 - Springer
Electrification not only promotes the rapid progress of productivity and human civilization,
but also provides a greater possibility for the occurrence of fire. Electrical fire is mainly …
but also provides a greater possibility for the occurrence of fire. Electrical fire is mainly …