The Multimodal Multi-band Adaptive Partial Discharge Sensor is a new-generation online PD monitoring device featuring simultaneous multimodal measurement capabilities including UHF, TEV (transient earth voltage), ultrasonic, and environmental temperature/humidity. It enables real-time dynamic calibration at the monitoring site and automatically selects the measurement channel with the highest signal-to-noise ratio. It is suitable for online partial discharge detection in various medium- and high-voltage equipment such as switchgear, transformers, GIS, and cables.
Key Features
Filtering, amplification, and detection functions are fully chip-based with digital output at the front end, systematically improving anti-interference performance and measurement consistency
Dynamic signal calibration at the PD measurement site with automatic selection of the channel offering the best signal-to-noise ratio
Ultra-low power consumption and ultra-long standby time, capable of continuous operation for at least 5 years (assuming PD acquisition and transmission interval of 15 minutes)
Supports both integrated and split-type product forms: the front-end probe can be built into the sensor body or connected via cable for more flexible deployment and higher signal acquisition sensitivity
Supports simultaneous acquisition from 2 high-frequency electromagnetic signal channels with mutual calibration to enhance anti-interference capability
Multi-level computing architecture combining local computation at the sensor front end, edge computing at the gateway, and big data analysis in the cloud, reducing data transmission costs and ensuring safe, reliable PD monitoring in both offline and online environments
Cloud-based multimodal complex signal processing and large-model analysis enable real-time and historical data modeling, status comparison, and reveal current as well as future data assets, operational management, and long-term economic value
