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Our Condition Assessment Service combines online monitoring data with on-site inspection, lab analysis and other offline information. We’ll help you build a complete picture of asset health, generating actionable insights to reduce risk of transformer failure
While other monitoring systems on the market can provide data trending and alarm notifications, TOTUS is unique in its ability to visually show transformer condition at a glance.
TOTUS does not simply calculate the online condition index of the transformer under scope, this condition index can be extended to show a holistic picture of transformer health, combining online data with relevant historical and offline data from the transformer’s entire lifecycle.
Our Condition Assessment service is split into the three core areas:
Our range of transformer reports provide maximum visibility of asset health, helping Asset Managers make make effective maintenance strategy decisions quickly.
Our range of transformer diagnostic assessments looks at online data collected by TOTUS combined with related offline data. The diagnosis addresses the following parameter groups:
The asset will be classified into the conditions: Good, normal for service, long-term risk, mid-term risk and short-term risk. Furthermore, the diagnosis provides insights into the residual substance, the reliability, detected errors and events, the technical legitimacy of a safe operation, the determined residual operating time as well as recommended measures.
The Quarterly Status Report provides a brief summary on the transformer’s condition based on the online data collected. An executive summary is provided to asset managers which highlights anomalies on the transformer, any recommended actions, or any condition degradations to previous diagnosis.
The asset will be classified into the conditions:
Reporting on the asset’s condition trend during the monitored 3 months, the quarterly status report creates an asset history report that enables early detection of any asset defects, a risk mitigation of catastrophic events, and a prolongation of the asset’s operational life. In case of any detected anomalies this high-level report may trigger subsequent investigation.
Event Analysis of a transformer is condition assessment based on the online data collected by TOTUS before and after a specific event has occurred, the is combined with any event related offline data shared by the operator. The diagnosis addresses the following parameter groups:
A brief individual diagnosis for each parameter group is performed to estimate any potential event effects on or any changes to the transformer’s health index.
Factory Acceptance Testing gives asset managers confidence that newly invested equipment has been designed and manufactured properly to perform reliably during its operational life. As the FAT is a complex process it requires specialist knowledge of transformer tests, procedures and acceptance criteria. At Camlin, our team of experts are on hand to support customers through this process, ensuring equipment is ready to deliver. We don’t simply review results of final FAT report, we dive much deeper in our analysis and consider underlying raw data to verify the calculations, modelling and interpretation of the transformer from the OEM. The acceptance test can be performed in two ways:
Ultimately, this provides additional confidence in the OEM’s results and gives reassurance that the transformer conforms to customer standards and specifications.
Our in-house laboratories are staffed by our team of experienced chemists and engineers. We can provide answers and solutions, based on a wide range of testing capabilities. We work in partnership with our customer laboratories to verify data and to develop efficient testing programs for condition assessment or help identify and solve problems. All test reports include an analysis of the data and recommended actions.
Our laboratory testing includes the following;
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