20 citations · 24 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…
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…
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
Tareq Tayeh, Abdallah Shami
As systems in smart manufacturing become increasingly complex, producing an abundance of data, the potential for production failures becomes increasingly more likely. There arises…
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…