Performance Scrutiny is a series of online and offline tests to establish the performance of an asset under normal or fault conditions. Performance Scrutiny has proven for decades to be a valuable tool but requires expert diagnostics through sound engineering theory and extensive experience. The conclusions draw from the test results must provide a condition of the asset and not merely indicating Pass or Fail.

Our technical team have established a database of thousands of assets within the African continent. This has proven to be effective tool in understanding asset failure modes within our local conditions and providing the optimum solution to customers. Congru Solutions relies on our tried and tested five (5) step approach for Performance Scrutiny.

Test Data Analytics (Interpretation of Test Data)
(based a diagnostic, predictive and prescriptive outcomes)

• does not provide suitable information that can be used for example in the development of a suitable Health/Risk Indices
• does not provide predictive and prescriptive information for the customer
• are based on antiquated guideline numbers or guideline that do not take into consideration our local conditions
• does not take into consideration historical data

Analysis is also performed by a very few test equipment manufacturers. However, the drawback is that:

• the analysis is subject to using their test equipment,
• the test data is typically sent to Europe or US for analysis which results in delays
• this may not be a free service and can be expensive

Congru Solutions eliminates these challenges faced by customers by providing a comprehensive data analytics solution. Firstly, our Engineers provides analytic services to customers irrespective of the test equipment used. We are based in South Africa which ensures no delay and no high foreign service costs. Over the last few decades Congru’s engineers have fine tuned their test data analytics to produce diagnostic, predictive and prescriptive outcomes. During this period, they also developed a Health Indices/Risk Indices for Transformer Fleet Management for local transformer by focusing on the condition indicates. As part of this development process our technical team has established a database of thousands of assets within the African continent. This has proven to be an effective tool were benchmarking test results and understanding asset failure modes within our local conditions. In this way providing the optimum solution to customers. For examples of this process please read our case studies by clicking on the button below.