Partial Discharge Online Monitoring System/ Iron Core Grounding Current Online Monitoring System/ Transformer Oil Chromatography Online Monitoring System
)
Product Name: Partial Discharge Online Monitoring System
Function Overview: Uses UHF sensors to collect partial discharge signals from high-voltage equipment such as GIS, transformers, and switchgear in real time. The signals are processed by IEDs and uploaded to the backend for analysis and diagnosis, enabling continuous insulation status monitoring and early warning.
Target Users: Substation operation and maintenance personnel, equipment maintenance engineers, power system condition monitoring managers
Problems Solved / Benefits Provided: Timely detection of internal insulation defects, preventing sudden insulation breakdown accidents; transforming traditional periodic outage maintenance into condition-based maintenance based on actual equipment status, significantly reducing maintenance costs and unplanned downtime while improving power supply reliability.
Product Name: Iron Core Grounding Current Online Monitoring System
Function Overview: Uses high-precision current sensors to monitor the current value of the transformer iron core grounding loop in real time. When the current rises abnormally, an alarm is automatically triggered, and data is transmitted remotely to the monitoring center for unattended 24/7 monitoring.
Target Users: Transformer operation and maintenance personnel, power equipment condition assessment engineers, substation operation managers
Problems Solved / Benefits Provided: Effectively identifies potential multi-point grounding faults in the transformer iron core, preventing transformer damage caused by iron core overheating; replaces manual periodic measurements, improves monitoring frequency and accuracy, and extends transformer service life.
Product Name: Transformer Oil Chromatography Online Monitoring System
Function Overview: Automatically collects transformer insulating oil samples, uses gas chromatography principles to separate and quantitatively detect dissolved characteristic gases (such as hydrogen, methane, acetylene, carbon monoxide, etc.), and combines intelligent diagnostic algorithms to determine the type and severity of latent faults inside the transformer.
Target Users: Transformer condition monitoring engineers, power testing personnel, substation equipment management decision-makers
Problems Solved / Benefits Provided: Provides real-time insight into transformer health without the need for oil sampling and laboratory testing, detecting potential faults such as internal overheating and discharge weeks or even months in advance; reduces laboratory testing cycles and labor costs, providing reliable data support for transformer lifecycle management.
){kind=logo}
){kind=logo}
)
)
)
)
)
)
)
)
)
)
)
)
){kind=logo}
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
){kind=logo}
)
)
)
)
)
){kind=logo}
){kind=logo}
