Wind turbine condition monitoring based on a novel multivariate state estimation technique

Z Wang, C Liu - Measurement, 2021 - Elsevier
With the development of the wind energy industry, condition monitoring (CM) has become
one of the important ways to improve the reliability of wind turbines (WTs). A data driven …

An adaptive condition monitoring method of wind turbines based on multivariate state estimation technique and continual learning

Z Wang, X Jin, Z Xu - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
With the development of wind energy, the condition monitoring (CM) methods of wind
turbines (WTs) based on supervisory control and data acquisition (SCADA) data have …

Condition monitoring of wind turbine based on incremental learning and multivariate state estimation technique

Z Wang, C Liu, F Yan - Renewable energy, 2022 - Elsevier
With the development of wind turbine (WT) operation and maintenance technologies, the
condition monitoring (CM) method based on the data of supervisory control and data …

A Multistage Physics-Informed Neural Network for Fault Detection in Regulating Valves of Nuclear Power Plants

C Lai, I Ahmed, E Zio, W Li, Y Zhang, W Yao, J Chen - Energies, 2024 - mdpi.com
In Nuclear Power Plants (NPPs), online condition monitoring and the fault detection of
structures, systems and components (SSCs) can aid in guaranteeing safe operation. The …

Wind turbine condition monitoring based on double‐layer ensemble KNN method

S Zhang, K Huang, C Liu, W Tian… - Energy Science & …, 2024 - Wiley Online Library
An ensemble K‐nearest neighbor model based on the double‐layer sampling method was
proposed for the condition monitoring of wind turbine (WT) gearboxes. The distance function …

Adaptive Doppler‐smoothed‐code bilateral kernel regression method for single‐frequency BeiDou receiver

Y Jiang, H Shao, H Gao - IET Radar, Sonar & Navigation, 2023 - Wiley Online Library
Abstract Currently, single‐frequency Global Navigation Satellite System (GNSS) receivers
dominate maritime navigation units due to their simple structure and low cost but usually …

Fault Detection by Signal Reconstruction in Nuclear Power Plants

I Ahmed, E Zio, G Heo - Nuclear Reactors-Spacecraft Propulsion …, 2021 - books.google.com
In this work, the recently developed auto associative bilateral kernel regression (AABKR)
method for on-line condition monitoring of systems, structures, and components (SSCs) …

[PDF][PDF] Gaussian Process-based Methods for Process States Validation

I Ahmed, G Heo - kns.org
In industrial systems' operations such as avionics, fossil-fuel power plants, nuclear power
plants (NPPs), and oil and gas installations, faults and failures can occur in sensors …