Predictive Intelligence for High-Voltage Reliability
Transform reactive repairs into predictive maintenance. CMIT Group delivers high-precision partial discharge diagnostics to identify insulation defects before they escalate into costly system failures.
Partial Discharge Monitoring
Partial discharge (PD) is a critical indicator of insulation degradation in electrical systems, often leading to equipment failure if not addressed. CMIT Group provides high-precision Online Partial Discharge (PD) monitoring solutions designed for seamless integration into predictive maintenance frameworks. By utilizing advanced sensing technology and real-time data analytics, the platform enables operators to detect early-stage insulation degradation in high-voltage assets. This proactive methodology mitigates the risk of catastrophic failures, extends equipment longevity, and optimizes maintenance strategies based on actual asset health.
Comprehensive PD Monitoring & Predictive Maintenance
Prioritize and identify issues in the grid using real-time data.
Predict faults through remote partial discharge monitoring (no on-site expert needed).
Estimate the line's useful life from vibration and tension data, and monitor and track aging incidents.
Detect partial discharge and implement continuous online cable monitoring.
Access cost-effective, consolidated products for easier, scalable global solutions.
24/7 Online Monitoring Solution for Insulation Defect Detection
PDEYE Platform Solutions
The PDEye Platform is an industry-leading software suite engineered to transform raw sensor data into actionable grid intelligence. Designed for seamless integration, PDEye operates across cloud or on-premises environments, connecting directly to your asset management system to provide fully automated PD diagnosis across the entire transmission and distribution network.
By leveraging advanced algorithms, the platform identifies, evaluates, and prioritizes insulation defects in real-time. This 360° approach ensures mission-critical reliability, allowing operators to preempt system failures, optimize maintenance schedules, and significantly reduce operational overhead.
Detect Insulation Defects Using the Portable Device
Our Focus
PDSolver: Precision AI-Driven Diagnostics
PDSolver redefines the standards of grid monitoring by integrating advanced Artificial Intelligence to automate the Partial Discharge (PD) diagnostic process fully. Moving beyond simple data collection, the software performs multi-layer analysis to deliver results with exceptional accuracy:
Automated Precise Recognition.
AI Clustering.
Adjustment-Free Diagnosis.
Criticality Evaluation.
With an intuitive interface featuring 3D clustering and Phase-Resolved Partial Discharge (PRPD) patterns, PDSolver transforms complex electrical signals into clear, actionable intelligence, ensuring the safety and integrity of all transmission and distribution assets.
Request a Customized Proposal
Provide your objectives and technical parameters, and a consultant will respond promptly to outline the most suitable path forward, ensuring measurable performance gains.