Lamiaa M. Elshenawy

Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring

Lamiaa M. Elshenawy, Shen Yin, Amol S. Naik et al. · Industrial & Engineering Chemistry Research · 2009 · 102 citations

Engineering, Classical Pca, Data Science +17

Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants

Lamiaa M. Elshenawy, Mohamed Halawa, Tarek A. Mahmoud et al. · Progress in Nuclear Energy · 2021 · 75 citations

Fault Diagnosis, Engineering, Machine Learning +11

Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes

Lamiaa M. Elshenawy, Chouaib Chakour, Tarek A. Mahmoud · Journal of the Franklin Institute · 2022 · 53 citations

Fault Diagnosis, Fuzzy Logic, Engineering +11

Recursive Fault Detection and Isolation Approaches of Time-Varying Processes

Lamiaa M. Elshenawy, Hamdi A. Awad · Industrial & Engineering Chemistry Research · 2012 · 34 citations

Fault Diagnosis, Reliability Engineering, Recursive Pca +12

Fault diagnosis of time-varying processes using modified reconstruction-based contributions

Lamiaa M. Elshenawy, Tarek A. Mahmoud · Journal of Process Control · 2018 · 34 citations

Fault Diagnosis, Reliability Engineering, Engineering +7