TY - GEN
T1 - Random forest-based nonlinear improved feature extraction and selection for fault classification
AU - Fezai, Radhia
AU - Bouzrara, Kais
AU - Mansouri, Majdi
AU - Nounou, Hazem
AU - Nounou, Mohamed
AU - Trabelsi, Mohamed
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/22
Y1 - 2021/3/22
N2 - In this paper, Interval Gaussian Process Regression (IGPR)-based Random Forest (RF) proposed for fault detection and diagnosis (FDD) due to its effectiveness in handling uncertain industrial process data, which are often with high nonlinearities and strong correlations. This technique aims to extract the features from raw data using IGPR technique. Then, the interval mean vector and the interval variance matrix obtained from IGPR technique are used as inputs to the Random Forest (RF) classifier. The results show the effectiveness of the features and the classifiers in detection of faults of Wind Energy Conversion (WEC) Systems.
AB - In this paper, Interval Gaussian Process Regression (IGPR)-based Random Forest (RF) proposed for fault detection and diagnosis (FDD) due to its effectiveness in handling uncertain industrial process data, which are often with high nonlinearities and strong correlations. This technique aims to extract the features from raw data using IGPR technique. Then, the interval mean vector and the interval variance matrix obtained from IGPR technique are used as inputs to the Random Forest (RF) classifier. The results show the effectiveness of the features and the classifiers in detection of faults of Wind Energy Conversion (WEC) Systems.
KW - Fault Detection and Diagnosis (FDD)
KW - Feature Extraction and Selection
KW - Interval Gaussian Process Regression (IGPR)
KW - Interval-Valued Data
KW - Random Forest (RF)
KW - Wind Energy Conversion (WEC) Systems
UR - http://www.scopus.com/inward/record.url?scp=85107478759&partnerID=8YFLogxK
U2 - 10.1109/SSD52085.2021.9429351
DO - 10.1109/SSD52085.2021.9429351
M3 - Conference contribution
AN - SCOPUS:85107478759
T3 - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
SP - 601
EP - 606
BT - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
Y2 - 22 March 2021 through 25 March 2021
ER -