Can I read Logistic Regression Based Arc Fault Detection in Photovoltaic Systems Under Different Conditions on EtoBox?
Logistic Regression Based Arc Fault Detection in Photovoltaic Systems Under Different Conditions by 18530595960 is a document available to read on EtoBox.
What is Logistic Regression Based Arc Fault Detection in Photovoltaic Systems Under Different Conditions about?
The paper presents a method for detecting direct current (DC) arc faults in photovoltaic systems using logistic regression analysis of experimental data. It emphasizes the significance of cable length, arc gap, and sensor effects on arc fault detection, achieving a 100% accuracy rate after validating 80 experimental data sets. The study highlights the importance of timely detection to prevent fire hazards associated with DC arc faults in solar energy systems.
- Author
- 18530595960
- Language
- EN