DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis
P Peng, W Zhang, Y Zhang, Y Xu, H Wang, H Zhang - Neurocomputing, 2020 - Elsevier
Most existing fault diagnosis methods may fail in the following three scenarios:(1) serial
correlations exist in the process data;(2) fault data are much less than normal data; and (3) it …
correlations exist in the process data;(2) fault data are much less than normal data; and (3) it …
Fault detection and diagnosis using tree-based ensemble learning methods and multivariate control charts for centrifugal chillers
W Yao, D Li, L Gao - Journal of Building Engineering, 2022 - Elsevier
Fault detection and diagnosis (FDD) of centrifugal chillers plays an essential role in reducing
energy consumption and ensuring safe operation of heating, ventilation and air conditioning …
energy consumption and ensuring safe operation of heating, ventilation and air conditioning …
Traffic congestion monitoring using an improved kNN strategy
A systematic approach for monitoring road traffic congestion is developed to improve safety
and traffic management. To achieve this purpose, an improved observer merging the …
and traffic management. To achieve this purpose, an improved observer merging the …
Wind power prediction using bootstrap aggregating trees approach to enabling sustainable wind power integration in a smart grid
Precise prediction of wind power is important in sustainably integrating the wind power in a
smart grid. The need for short-term predictions is increased with the increasing installed …
smart grid. The need for short-term predictions is increased with the increasing installed …
Robust and flexible strategy for fault detection in grid-connected photovoltaic systems
Reliable and efficient detection of faults in photovoltaic systems provides pertinent
information for improving their safety and productivity. However, data gathered from …
information for improving their safety and productivity. However, data gathered from …
Ensemble learning techniques-based monitoring charts for fault detection in photovoltaic systems
Over the past few years, there has been a significant increase in the interest in and adoption
of solar energy all over the world. However, despite ongoing efforts to protect photovoltaic …
of solar energy all over the world. However, despite ongoing efforts to protect photovoltaic …
Multivariate statistical monitoring of photovoltaic plant operation
Detecting anomalies in a photovoltaic system play a core role in keeping the desired
performance and meeting requirements and specification. For this propose, a simple and …
performance and meeting requirements and specification. For this propose, a simple and …
Fault detection of pneumatic control valves based on canonical variate analysis
This paper deals with the fault detection of a pneumatic control valve using canonical variate
analysis (CVA). CVA can find the optimal linear combinations of p-window and f-window …
analysis (CVA). CVA can find the optimal linear combinations of p-window and f-window …
A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring
Effective and efficient monitoring of a photovoltaic plant are indispensable to maintain the
generated power at the desired specifications. In this work, a simple and effective monitoring …
generated power at the desired specifications. In this work, a simple and effective monitoring …