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Software
SV500 is an advanced equipment condition monitoring system built on a Digital Twin platform, designed to systematically detect and analyze electrical, mechanical, and operational anomalies and faults.
It enables real-time monitoring and predictive maintenance, optimizing equipment performance while enhancing operational reliability.
Real-Time Data Acquisition and Analytics Engine
- Real-time collection and high-speed analysis of voltage and current signals (FFT and ESA-based analysis)
- Generates comprehensive diagnostic data including load characteristics, power quality, and mechanical imbalance analysis
AI and Machine Learning-Based Diagnostics
- Digital Twin and ML/AI-based anomaly detection
- Predictive condition monitoring for rotating equipment such as motors, pumps, fans, and compressors
- Diagnostics for critical transformer components including windings, bushings, and tap changers
Web Server-Based UI/UX
- Provides real-time measurement status, power quality monitoring, diagnostic results, event and alarm management, and reporting functions
Communication Protocols and System Integration
- Supports Modbus TCP/IP and Modbus RTU
- Supports Ethernet dual-port switching hub configuration with RSTP
- Supports RS485 multi-drop communication and daisy-chain network configuration
Diagnostics and Reporting
- Provides diagnostic alerts, power quality indices, and real-time trend analysis