66 citations · 89 across the 5 of their papers we have counts for
5 papers
Similarity-Based Predictive Maintenance Framework for Rotating Machinery
Sulaiman Aburakhia, Tareq Tayeh, Ryan Myers +1
Within smart manufacturing, data driven techniques are commonly adopted for condition monitoring and fault diagnosis of rotating machinery. Classical approaches use supervised lear…
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay
Sulaiman Aburakhia, Ryan Myers, Abdallah Shami
Vibration-based condition monitoring techniques are commonly used to detect and diagnose failures of rolling bearings. Accuracy and delay in detecting and diagnosing different type…
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers +1
As a substantial amount of multivariate time series data is being produced by the complex systems in Smart Manufacturing, improved anomaly detection frameworks are needed to reduce…
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Sulaiman Aburakhia, Tareq Tayeh, Ryan Myers +1
Convolutional Neural Network (CNN) techniques have proven to be very useful in image-based anomaly detection applications. CNN can be used as deep features extractor where other an…
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers +1
Surface anomaly detection plays an important quality control role in many manufacturing industries to reduce scrap production. Machine-based visual inspections have been utilized i…