MUMBAI, India, Jan. 7 -- Intellectual Property India has published a patent application (202511104171 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 29, 2025, for 'photovoltaic (pv) fault detection system.'
Inventor(s) include Meghna Gupta; Dr. Sourabh Kumar; Sami Anand; and Gaurav Pushkarna.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "A photovoltaic (PV) fault detection system comprising a data acquisition module 101 configured to collect real-time electrical parameters including voltage, current, and power from a photovoltaic plant, a simulation module 102 configured to model PV system behavior under normal and fault conditions including Short Circuits (SC), Open Circuits (OC), Ground Faults (GF), and Mismatch Faults (MF), a machine learning module 103 configured to detect and classify PV faults by analyzing variations in the collected electrical parameters, the module 103 implementing classifiers selected from Decision Tree (DT), Naive Bayes (NB), Random Forest (RF), Support Vector Machine (SVM), and XGBoost, a fault diagnosis unit 104 configured to output fault classification results based on the machine learning output, an integration module configured to enable real-time IoT-based monitoring and prediction analytics to enhance PV system reliability."
Disclaimer: Curated by HT Syndication.