z-logo
open-access-imgOpen Access
Swarm-LSTM: Condition Monitoring of Gearbox Fault Diagnosis Based on Hybrid LSTM Deep Neural Network Optimized by Swarm Intelligence Algorithms
Author(s) -
Gopi Krishna Durbhaka,
S. Barani,
Mamta Mittal,
Tanzila Saba,
Amjad Rehman,
Lalit Mohan Goyal
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2020.013131
Subject(s) - computer science , swarm behaviour , artificial neural network , fault (geology) , renewable energy , artificial intelligence , swarm intelligence , energy (signal processing) , wind power , machine learning , engineering , particle swarm optimization , seismology , geology , statistics , mathematics , electrical engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here