Online Partial Discharge Monitoring of Power Transformers
Dielectric flashover of transformer bushing and winding insulation is one of the most frequent causes of failure in power transformers. Insulation degradation in bushings and windings is influenced by various electrical, thermal, mechanical and environmental stress factors over many years in service.
Partial discharge (PD) activity is an indication of weak spots in the insulation that can cause failure and damage to power transformers and can be continuously monitored over a specified period of time to trend PD activity over time to efficiently plan further diagnosis as well as maintenance to prevent failure.
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MONTESTO 200
MONTESTO 200 is a portable solution that enables you to perform temporary online partial discharge (PD) monitoring. You can use the IP65-rated solution both indoors and outdoors on various medium-voltage and high-voltage electrical assets under load to trend PD activity and assess insulation condition. Automated software features allow you to quickly and reliably detect insulation defects and locate signal sources.
Portable solution
All that you need is included in a rugged, wheeled case that is easy to transport to various locations. The IP65 rated hardware device can be used indoors and outdoors and mounted on or near the asset for temporary partial discharge monitoring.
Plug-and-play setup
The on-line temporary PD monitoring device can be easily connected via a terminal box to permanently installed partial discharge sensors. This enables quick and safe plug-and-play connections during setup without having to shut down the asset to prevent unnecessary downtime.
Remote data access
A built-in computer enables long-term data collection and archival. With and Internet connection, the computer can be remotely accessed and setup by the user to send email alarm notifications when PD levels exceed user-defined thresholds.
Convenient analysis tools
Automatic software features, such as 3PARD (3-Phase Amplitude Relation Diagram) and Automatic Cluster Separation, separate noise from PD signals to help you easily and reliably determine the signal source.