Why Partial Discharge Monitoring
Rotating Machines like generators and motors operate under electrical, thermal, and mechanical stress, causing stator insulation to deteriorate over time. Degradation may trigger partial discharge (PD) in rotating machine leading to, minute electrical sparks in air gaps or insulation defects.If left unnoticed, PD speeds up the failure of insulation, which in turn may result in unexpected downtime, equipment loss, or even complete breakdown. As critical components in power generation and industrial processes, it is important that PD be detected early.
Real-time partial discharge monitoring identifies weak spots much earlier than failure, providing proactive maintenance, minimizes operating risks, and maximizes asset life. Partial discharge from insulation faults emits high-frequency signals, detected by IoT sensors and analyzed by edge devices and software to identify,locate and trend faults.
Why Rugged Monitoring-
Rugged Monitoring offers a robust and comprehensive partial discharge (PD) monitoring solution for motors and generators in harsh industrial applications. Our solution integrates high-accuracy IoT sensors, advanced edge devices, and resilient software to provide real-time and offline information, alarm notifications, and detailed analytics. The solution identifies insulation-related faults such as stator degradation, end winding discharges, slot discharges, contamination, and micro-sparking while providing early detection and actionable information.
With PRPD (Phase-Resolved Partial Discharge) analysis support, amplitude and discharge rate trending, and real-time PD localization, our monitoring solution allows maintenance teams to detect the source and severity of emerging faults. AI-based analytics also improve diagnostic accuracy by detecting fault types and offering predictive suggestions. Users are alerted promptly via email, SMS, and push notifications, enhancing responsiveness and minimizing downtime. We tailor solutions to meet specific operating needs, allowing industries to apply predictive maintenance techniques that extend equipment lifespan and support continuous operation.
Invest in Efficiency & Sustainability
EMI-resistant and high-sensitivity sensors for accurate PD detection in insulation and winding zones.
Support PRPD, trending, and localization of PD sources for early fault identification.
Delivers real-time PD insights and predictive diagnostics through AI-enhanced analytics.
What We Monitor-
