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Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems

Entropy
This paper highlights that metrics from the machine learning field (e.g., entropy and information gain) used to qualify a classifier model can be used to evaluate the effectiveness of separation systems.
Éva Kenyeres, Alex Kummer, János Abonyi   +2 more
doaj   +1 more source

DC Series Arc Fault Detection in Electric Vehicle Charging Systems Using a Temporal Convolution and Sparse Transformer Network

Sensors
In electric vehicle (EV) charging systems, DC series arc faults, due to their high concealment and severe hazard, have become one of the important causes of electric vehicle fire accidents.
Kai Yang, Shun Zhang, Rongyuan Lin, Ran Tu, Xuejin Zhou, Rencheng Zhang   +5 more
doaj   +1 more source

Detection and tracking of ocean layers using an AUV with UKF based extremum seeking control in the Baltic Sea

Scientific Reports
Adaptive sampling and situational awareness are key features of modern autonomous underwater vehicles (AUVs) since data quality can be improved while operation time and cost can be reduced.
Tim Benedikt von See, Jens Greinert, Thomas Meurer   +2 more
doaj   +1 more source

Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties

Heliyon
This paper introduces a methodology for handling different types of uncertainties during robust optimization. In real-world industrial optimization problems, many types of uncertainties emerge, e.g., inaccurate setting of control variables, and the ...
Éva Kenyeres, Alex Kummer, János Abonyi   +2 more
doaj   +1 more source

Electric Bicycle Series Arc Fault Identification Method Based on Improved PCA and SVM

Sensors
Electric bicycles are popular due to their environmental benefits and convenience. However, electric bicycle fires caused by series arc faults remain a serious safety concern.
Kai Yang, Jiaqi Chen, Zuxuan Yang, Ziyu Ma, Rencheng Zhang   +4 more
doaj   +1 more source

Intelligent defect classification system based on deep learning

Advances in Mechanical Engineering, 2018
A fast and intelligent defect classification system for distinguishing defect features is developed in this study. Defect images obtained from an automated optical inspection instrument are first trained utilizing a deep learning approach based on the ...
Ruifang Ye, Chia-Sheng Pan, Ming Chang, Qing Yu   +3 more
doaj   +1 more source

Model-Centric Integration of Uncertain Expert Knowledge into Importance Sampling-Based Parameter Estimation

Applied Sciences
This study presents a model-based parameter estimation method for integrating and validating uncertainty in expert knowledge and simulation models. The parameters of the models of complex systems are often unknown due to a lack of measurement data.
Éva Kenyeres, János Abonyi
doaj   +1 more source

Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter

Sensors
This paper proposes a monitoring procedure based on characterizing state probability distributions estimated using particle filters. The work highlights what types of information can be obtained during state estimation and how the revealed information ...
András Darányi, János Abonyi
doaj   +1 more source

Multi-AUV sediment plume estimation using Bayesian optimization

Frontiers in Marine Science
Sediment plumes created by dredging or mining activities have an impact on the ecosystem in a much larger area than the mining or dredging area itself.
Tim Benedikt von See, Jens Greinert, Jens Greinert, Thomas Meurer   +3 more
doaj   +1 more source

Weibull stress analysis for the corner crack in reactor pressure vessel nozzle

Advances in Mechanical Engineering, 2019
The nozzle region of a reactor pressure vessel experiences higher and more complex stresses than the remaining part of the reactor pressure vessel. If a corner crack is postulated in the nozzle region, it is necessary to consider the potential strong ...
Ting Jin, Zihang Wang, Qiwei Wang, Dasheng Wang, Yuebing Li, Mingjue Zhou   +5 more
doaj   +1 more source