A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

authors

• Nounou, Mohamed

published proceedings

• IEEE ACCESS

author list (cited authors)

• Mansouri, M., Fezai, R., Trabelsi, M., Hajji, M., Harkat, M., Nounou, H., Nounou, M. N., & Bouzrara, K.

citation count

• 18

complete list of authors

• Mansouri, Majdi||Fezai, Radhia||Trabelsi, Mohamed||Hajji, Mansour||Harkat, Mohamed-Faouzi||Nounou, Hazem||Nounou, Mohamed N||Bouzrara, Kais

publication date

• January 2020

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Access  Journal

keywords

• Data Mining
• Data Models
• Fault Detection And Diagnosis (fdd)
• Feature Extraction
• Feature Extraction And Selection
• Gaussian Process Regression (gpr)
• Gaussian Processes
• Interval-valued Data
• Mathematical Model
• Radio Frequency
• Random Forest (rf)
• Wind Energy Conversion (wec) Systems
• Wind Turbines

Digital Object Identifier (DOI)

• 10.1109/ACCESS.2020.3042101

start page

• 219672

end page

• 219679

volume

• 8

URL

• http://dx.doi.org/10.1109/access.2020.3042101

user-defined tag

• 7 Affordable and Clean Energy