faultdetection

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Deep Learning for Predictive Maintenance leverages neural networks to analyze sensor and operational data, predict failures early, reduce downtime, and optimize maintenance costs.

Illuminate the future with Auralis! This IoT-enabled adaptive smart street lighting system slashes energy consumption, detects faults in real-time, and brings intelligence to urban and rural roads. Powered by ESP32 and sensor networks, Auralis is scalable, efficient, and ready to light up smart cities with innovation.

PyTorch implementation of ScaloNet with Layer-wise Domain Discrepancy (LDD) for fault diagnosis in rotating machines. This project enables selective transfer learning by fine-tuning only layers with high domain mismatch, improving accuracy and robustness across varying RPMs.

IoT-based street light monitoring system with dual operating modes, real-time Blynk control, and automatic fault notification.