Transformer Monitoring
Hydrogen Monitoring in the Transformer Headspace Compared to Traditional In-Oil Monitoring
Distribution Transformer DGA – The Future of Monitoring Distribution Systems
Transformer Monitoring
Why event-based fault type identification is better than a sample-by-sample approach
Introduction
Fault type identification is an important step in dissolved gas analysis (DGA). When a significant amount fault gas production is detected in a transformer, we want to know what kind of physical condition could be responsible for the gassing. Knowing the type of fault can help to identify the nature and location of the problem in the transformer. That in turn can also suggest what physical inspections or tests may be warranted in order...
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