6 citations · 11 across the 3 of their papers we have counts for
3 papers
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis
Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani +1
Bearing fault diagnosis under varying working conditions faces challenges, including a lack of labeled data, distribution discrepancies, and resource constraints. To address these…
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad TH Beheshti +1
Unsupervised domain adaptation (UDA) has shown remarkable results in bearing fault diagnosis under changing working conditions in recent years. However, most UDA methods do not con…
A Novel Event-based Non-intrusive Load Monitoring Algorithm
Elnaz Azizi, Mohammad TH Beheshti, Sadegh Bolouki
Non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susce…