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Hydran M2
Click number:1017    Update time:2015/11/21 10:12:23

 Monitoring and performing real-time transformer modeling can help reduce the risk of unexpected and sometimes catastrophic failures. This also helps to avoid expensive clean-up, replacement, and unplanned downtime. Early detection of potential transformer problems is vital to the lifespan extension of critical transformers and provides significant business and operational benefits that will:

Reduce inspection and maintenance costs by stretching out the time between routine maintenance activities;
Reduce unplanned outages with continuous condition monitoring and early detection of primary faults;
Provide greater lifespan confidence through the use of on-line model computations providing real-time transformer condition information;
Defer major replacement costs by optimizing the transformer’s performance and extending its lifespan
Hydran M2
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