A Real Time Energy Meter Fault Detection System using Camera comparing with Conventional Fault Detection Technique

Abstract

AIM: The study's major goal is to compare a real-time energy meter fault detection approach to a traditional fault detection technique using a new proposed system of unique remote application. MATERIALS AND METHODS: Designing a novel remote application using android studio and python software with 10 samples compared with conventional fault detection technique and significance value is 0.03. The G power is 0.8, the alpha is 0.05, the beta is 0.2 RESULTS: Through this study it is found that a real time energy meter fault detection technique with a novel remote application has better statistical significance value (p<0.05). CONCLUSION: A novel remote application of real time energy meter fault detection technique gives significantly better results.