Objective: To implement malfunction simulation in spaceflight training simulator.
Method: The principle of malfunction simulation was defined according to spacecraft malfunction predict and its countermeasures. The malfunction patterns were classified, and malfunction type was confirmed. A malfunction simulation model was established, and the malfunction simulation was realized by math simulation.
Result: According to the requirement of astronaut training, a spacecraft subsystem malfunction simulation model was established and realized, such as environment control and life support, GNC, push, power supply, heat control, data management, measure control and communication, structure and so on.
Conclusion: The malfunction simulation function implemented in the spaceflight training simulator satisfied the requirements for astronaut training.
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Sensors (Basel)
January 2025
School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China.
In existing coverage challenges within wireless sensor networks, traditional sensor perception models often fail to accurately represent the true transmission characteristics of wireless signals. In more complex application scenarios such as warehousing, residential areas, etc., this may lead to a large gap between the expected effect of actual coverage and simulated coverage.
View Article and Find Full Text PDFData Brief
February 2025
School of Engineering and Technology, University of New South Wales, Canberra, Australia.
This dataset is generated from real-time simulations conducted in MATLAB/Simscape, focusing on the impact of smart noise signals on battery energy storage systems (BESS). Using Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), noise signals in the form of subtle millivolt and milliampere variations are strategically created to represent realistic cases of False Data Injection Attacks (FDIA). These signals are designed to disrupt the State of Charge (SoC) and State of Health (SoH) estimation blocks within Unscented Kalman Filters (UKF).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Hydro Québec's Research Institute, Varennes, QC J3X 1S1, Canada.
Unlike traditional tap changers, which require transformers to be de-energized before making changes, On-Load Tap Changers (OLTCs) can adjust taps while the transformer is in service, ensuring continuous power supply during voltage regulation. OLTCs enhance grid reliability and support load balancing, reducing strain on the network and optimizing power quality. Their importance has grown as the demand for stable voltage and the integration of renewables has increased, making them vital for modern and resilient power systems.
View Article and Find Full Text PDFISA Trans
December 2024
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China. Electronic address:
The quadratic cost functions, exemplified by mean-square-error, often exhibit limited robustness and flexibility when confronted with impulsive noise contamination. In contrast, the generalized maximum correntropy (GMC) criterion, serving as a robust nonlinear similarity measure, offers superior performance in such scenarios. In this paper, we develop a recursive constrained adaptive filtering algorithm named recursive generalized maximum correntropy with a forgetting factor (FF-RCGMC).
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Computational Chemistry Research Laboratory (CCRL), Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur-603 203, Chengalpattu, Tamil Nadu, India.
Alzheimer's disease (AD) is a neurological condition that worsens over time and causes linguistic difficulties, cognitive decline, and memory loss. Since AD is a complicated, multifaceted illness, it is critical to identify drugs to combat this degenerative condition. Histone deacetylase 2 (HDAC2) represents a promising epigenetic target for neurodegenerative diseases.
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