During the service life of a transformer, a large amount of data is generated including master data, measured values from inspections and tests, and continuous sensor measurements. While this broad data spectrum provides valuable insights into the condition of a transformer, in practice this information is often distributed across various systems and platforms, making it difficult to maintain an overview and carry out holistic assessments. And not only is the data distribution a challenge, but also its correct interpretation. This is precisely where MR's TESSA® APM platform offers important assistance.
Precise condition assessment of transformers with TESSA® APM
With the expansion of the electricity grid and the integration of renewable energies, the demand for transformers is rising sharply. In view of the long delivery times for transformers, however, the monitoring and evaluation of these systems is becoming increasingly important in order to ensure safe operation.
Precise condition assessment of transformers with TESSA® APM
With the expansion of the electricity grid and the integration of renewable energies, the demand for transformers is rising sharply. In view of the long delivery times for transformers, however, the monitoring and evaluation of these systems is becoming increasingly important in order to ensure safe operation.
Example for insulating oil
In humans, symptoms provide important indications of possible illnesses. The situation is similar with power transformers. The analysis of the insulating oil, for example, provides important information about the state of health of the transformer, similar to a human blood count. According to IEC standard 60599, dissolved and free gas analysis (DGA) is an efficient diagnostic tool for detecting and evaluating faults in oil-insulated transformers. The most important fault gases can be measured either by sampling and subsequent laboratory analysis or by using a DGA sensor.
The latter has the advantage that the condition of the devices is constantly monitored and the uncertainty between sampling intervals is minimized, making it easier to proceed to condition-based maintenance. Thanks to seamless data recording, deviations can be detected at an early stage and life-extending measures can be taken for existing transformers before expensive failures occur or expensive repairs become necessary. With TESSA® APM Oil, a new module has been developed specifically for oil analysis that makes it much easier to interpret laboratory values.
Briefly explained: Condition-based maintenance
Condition-based maintenance is a strategy by which the condition of machines and systems is monitored in order to carry out maintenance work precisely and only when it is actually necessary. The use of sensors and diagnostic tools enables measured values to be analyzed so that unnecessary maintenance can be avoided.
„Raw data only unfolds its value through targeted analysis, but the effort involved is high and there is an increasing shortage of specialists. Digital analysis tools offer crucial support!“
Leonhard Link, TESSA® APM Product Manager.
TESSA®APM - Your solution for efficient transformer monitoring
TESSA®APM - Your solution for efficient transformer monitoring
With TESSA® Asset Performance Management, Maschinenfabrik Reinhausen offers a customized and modular solution for monitoring and diagnosing power transformers. To this end, the comprehensive MSENSE® sensor portfolio enables digital recording of the transformer components, which can therefore provide continuous measurement data.
The data is merged in the open ETOS® operating system, which enables precise monitoring, as well as the control and regulation of individual power transformers, and transmits information to the higher-level TESSA® APM fleet monitoring system via a secure communication interface. The TESSA® APM platform then enriches the sensor data with inspection data and displays the status of the fleet in a user-friendly interface.
The advantages of TESSA® APM at a glance
With TESSA® APM, you have all the relevant data for your fleet in one place and can identify trends and anomalies at an early stage. The platform quickly detects whether transformers are "sick" and provides information on the "treatment" required to get them healthy again.
These are the most important advantages:
- Time savings through process automation: Efficient automation of data analyses and reports.
- Cost savings through lifetime optimization: Extending the service life of transformers and avoiding expensive failures.
- Comprehensible assessments and analyses: Clear and understandable presentation of diagnoses and recommendations for action.
- Based on expert transformer knowledge: Well-founded analyses and recommendations from experts.
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