Roozbeh Razavi-Far
TitleCited byYear
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks
R Razavi-Far, H Davilu, V Palade, C Lucas
Neurocomputing 72 (13-15), 2939-2951, 2009
822009
An integrated class-imbalanced learning scheme for diagnosing bearing defects in induction motors
R Razavi-Far, M Farajzadeh-Zanjani, M Saif
IEEE Transactions on Industrial Informatics 13 (6), 2758-2769, 2017
402017
Bagged ensemble of Fuzzy C-Means classifiers for nuclear transient identification
P Baraldi, R Razavi-Far, E Zio
Annals of Nuclear Energy 38 (5), 1161-1171, 2011
402011
Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions
P Baraldi, R Razavi-Far, E Zio
Reliability Engineering & System Safety 96 (4), 480-488, 2011
342011
A multiple observers and dynamic weighting ensembles scheme for diagnosing new class faults in wind turbines
R Razavi-Far, M Kinnaert
Control Engineering Practice 21 (9), 1165-1177, 2013
282013
Dynamic weighting ensembles for incremental learning and diagnosing new concept class faults in nuclear power systems
R Razavi-Far, P Baraldi, E Zio
IEEE Transactions on Nuclear Science 59 (5), 2520-2530, 2012
282012
Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios
R Razavi-Far, E Zio, V Palade
Expert Systems with Applications 41 (14), 6386-6399, 2014
252014
zSlices-based general type-2 fuzzy fusion of support vector machines with application to bearing fault detection
H Hassani, J Zarei, MM Arefi, R Razavi-Far
IEEE Transactions on Industrial Electronics 64 (9), 7210-7217, 2017
222017
Neuro-fuzzy based fault diagnosis of a steam generator
R Razavi-Far, H Davilu, V Palade, C Lucas
IFAC Proceedings Volumes 42 (8), 1180-1185, 2009
192009
Diagnosis of bearing defects in induction motors by fuzzy-neighborhood density-based clustering
M Farajzadeh-Zanjani, R Razavi-Far, M Saif, J Zarei, V Palade
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
172015
Incremental design of a decision system for residual evaluation: A wind turbine application
R Razavi-Far, M Kinnaert
IFAC Proceedings Volumes 45 (20), 343-348, 2012
162012
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors
M Farajzadeh-Zanjani, R Razavi-Far, M Saif, L Rueda
2016 International Joint Conference on Neural Networks (IJCNN), 4504-4511, 2016
152016
Optimal detection of new classes of faults by an invasive weed optimization method
R Razavi-Far, V Palade, E Zio
2014 International Joint Conference on Neural Networks (IJCNN), 91-98, 2014
142014
A method for estimating the confidence in the identification of nuclear transients by a bagged ensemble of FCM classifiers
P Baraldi, R Razavi-Far, E Zio
142010
Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition
M Farajzadeh-Zanjani, R Razavi-Far, M Saif
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
132016
A semi-supervised diagnostic framework based on the surface estimation of faulty distributions
R Razavi-Far, E Hallaji, M Farajzadeh-Zanjani, M Saif
IEEE Transactions on Industrial Informatics 15 (3), 1277-1286, 2018
122018
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems
R Razavi-Far, E Hallaji, M Farajzadeh-Zanjani, M Saif, SH Kia, H Henao, ...
IEEE Transactions on Industrial Electronics 66 (8), 6331-6342, 2018
112018
Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries
R Razavi-Far, M Farajzadeh-Zanjani, S Chakrabarti, M Saif
2016 IEEE International Conference on Prognostics and Health Management …, 2016
112016
An integrated imputation-prediction scheme for prognostics of battery data with missing observations
R Razavi-Far, S Chakrabarti, M Saif, E Zio
Expert Systems with Applications 115, 709-723, 2019
102019
A novelty detector and extreme verification latency model for nonstationary environments
R Razavi-Far, E Hallaji, M Saif, G Ditzler
IEEE Transactions on Industrial Electronics 66 (1), 561-570, 2019
92019
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Articles 1–20