Interval-Valued Reduced RNN for Fault Detection and Diagnosis for Wind Energy Conversion Systems Academic Article

authors

• Nounou, Hazem
• Nounou, Mohamed

published proceedings

• IEEE SENSORS JOURNAL

author list (cited authors)

• Mansouri, M., Dhibi, K., Hajji, M., Bouzara, K., Nounou, H., & Nounou, M.

citation count

• 10

complete list of authors

• Mansouri, Majdi||Dhibi, Khaled||Hajji, Mansour||Bouzara, Kais||Nounou, Hazem||Nounou, Mohamed

publication date

• January 2022

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Fault Detection
• Fault Diagnosis
• Insulated Gate Bipolar Transistors
• Interval-valued Data
• Mathematical Models
• Recurrent Neural Network (rnn)
• Recurrent Neural Networks
• Sensors
• Uncertainties
• Wind Energy Conversion (wec)
• Wind Turbines

Digital Object Identifier (DOI)

• 10.1109/JSEN.2022.3175866

start page

• 13581

end page

• 13588

volume

• 22

issue

• 13

URL

• http://dx.doi.org/10.1109/jsen.2022.3175866

user-defined tag

• 7 Affordable and Clean Energy