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"Condition-based structural health monitoring of offshore wind jacket s" by Jiaxuan Leng, Paolo Gardoni et al.

Structural health monitoring (SHM) has been recognized as a useful tool for safety management and risk reduction of offshore wind farms. In complex offshore environment, jacket structures of offshore wind turbines are prone to damages due to corrosion and fatigue. Effective SHM on jacket structures can substantially reduce their operation risk and costs. This work reviews the latest progress on the SHM of offshore wind jacket structures. The achievements in the structural damage identification, location, quantification, and remaining useful life (RUL) estimation are respectively introduced in detail, and existing challenges are discussed. Possible solutions to the challenges using the Digital Twin (DT) technology are put forward. The DT is able to mirror a real jacket structure into a virtual model, and Bayesian updating can refresh the virtual model parameters in real-time to keep consistency between virtual model and physical structure; then, just-in-time SHM can be carried out for j ....

Digital Twin , Bayesian Theory , Digital Twin , Ffshore Jacket Structures , Remaining Useful Life Estimation , Structural Health Monitoring ,

Researchers advance the state of the art in hard disk failure prediction

A team of researchers at Murray State University, led by Dr. Saptarshi Sengupta, has advanced the state-of-the-art in prognosticating the remaining useful life (RUL) of Hard Disk Drives (HDD) by using deep Long Short Term Memory (LSTM) Networks ....

United States , Murray State University , Austin Coursey , Gopal Nath , Srikanth Prabhu , Saptarshi Sengupta , Department Of Computer Science , Manipal Institute Of Technology , Software Engineering , Health Management , Hard Disk Drives , Long Short Term Memory , Remaining Useful Life Estimation , Deep Learning , Manipal Institute , Computer Science , Information Systems , Outstanding Senior , Cyber Physical Systems , Big Data Analytics , Hard Disc Drive , Remaining Useful Life ,