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Upgrade Your Transformer Fleet with ETOS®!

Online monitoring of transformers offers numerous advantages, ranging from minimizing downtime to optimizing maintenance strategies. By assessing the real-time condition of assets, operators can schedule service jobs precisely when necessary. This capability becomes increasingly crucial in an era where finding qualified personnel is becoming increasingly challenging. Efficient deployment of service capabilities is paramount to meet the international goals of developing a reliable energy infrastructure that is increasingly based on renewables.

 

"Digitizing my transformers sounds great, but where should I start without breaking the bank?"

Let us guide you through this dilemma. CIGRÉ WG A2.37 identifies the active part, HV bushings, and OLTC as the primary causes in over 90% of transformer failures. Unfortunately, implementing a comprehensive online monitoring system often involves a significant initial investment, deterring many from retrofitting their transformer fleets.  Here's the solution: Upgrading your transformers with ETOS® changes the equation. For only 3 x 5,000 EUR, you can use ETOS® to monitor all critical components identified by CIGRÉ.

 

"If I can install sensors individually, why do I need ETOS®?"

To identify the real cause of failure, it's crucial to move beyond isolated data points. ETOS® features a function called Asset Intelligence (AI), which analyzes data from all installed sensors when abnormal values are detected. Through this holistic assessment, ETOS® is able to provide qualified failure diagnoses and recommendations for effective remedy measures. Say goodbye to overwhelming data floods and welcome your transformer's doctor with ETOS®.

Download our free e-paper with in-depth technical overview!

Unlock the potential of your transformer fleet with our state-of-the-art monitoring solution. Our detailed application guide reveals how you can benefit from:

DGA Trend Monitoring:
Monitor key gases to detect electrical and thermal anomalies early
Capacitive Bushing Monitoring:
Assess insulation health to prevent transformer failures and fires
Vibroacoustic Measurement:
Detect mechanical issues in on-load tap changers from the outside

„Active part, bushings and OLTC are responsible for over 90% of all transformer failures. With our solution ETOS®, all three components can be monitored safely and cost-effectively.“

Tobias Gruber, Product Manager ETOS®

Common myths about digitalization

Analyzing Data has never been so easy.

Instead of leaving you to evaluate all the collected sensor data on your own, ETOS® acts as a central data processing system on each transformer. With Asset Intelligence, it features an algorithm that analyzes the data from all installed sensors together. Based on research data and the expertise of our transformer specialists, Asset Intelligence identifies the most likely causes of faults, speeding up fault diagnosis and suggesting effective counter measures. Here's the key: the more sensors are connected, the more accurate the diagnosis, enabling better and faster remedial action.

Monitor the condition and deploy your service staff more efficiently.

Indeed, online monitoring requires personnel who have the time to analyze the gathered data. However, with Asset Intelligence analyzation efforts are reduced to the bare minimum. On the other hand, a time-based maintenance strategy means unnecessary service jobs where you only ever record the condition on a single day. The rest of the time the condition of your transformer is unknown. For only 3 x 5,000 EUR ETOS® provides a 24/7 condition overview of the most critical transformer components. Through trend analysis you get an early indication of anomalies. Schedule your maintenance when it's truly necessary and maximize availability without compromising on safety.

Maximum Reliability through the power of AI.

Online monitoring systems have developed considerably in recent years, especially in terms of reliability. More and more AI-based algorithms are enabling self-monitoring of the system. Our vibro-acoustic monitoring system for on-load tap-changers, for example, filters noise coming from the outside of the transformer. Before an alarm is triggered, it is checked by our algorithm to actively reduce false alarms. When the sensor is installed, its limit curve automatically approaches the envelope curve using a self-learning algorithm, maximizing its accuracy over time.

Schedule a personalized session.

If you have any questions in the meantime feel free to contact our experts

Tommy Halim

For requests in english

E-Mail T.Halim@my.reinhausen.com
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Frank Micksch

For requests in german

E-Mail F.Micksch@reinhausen.com
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Wang Peng

For requests in chinese

E-Mail p.wang@cn.reinhausen.com
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Antonio Martinez Gomez

For requests in spanish

E-Mail a.martinez@mx.reinhausen.com

Antonio Martinez Gomez

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