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VROC's power generation client wished to conduct a comparison study between the performance of two identical air supply units to isolate the underlying cause of a loss of energy production as well as excessive energy consumption and reliability issues on one of them.
For the comparison study between the two units’ air supply system, all the critical sensors corresponding to pressure and flowrate of key equipment responsible for circulating the air were selected for modelling. In addition to monitoring the sensors, the calculated and actual air and oxygen demand values were included in the AI model set to compare the calculated and actual demands and highlight the discrepancy between the units.
VROC concluded that on Unit#1 there was a significant deviation predicted for Gas Air Heater inlet pressure and Gas Air Heater differential pressure. Based on the modelling data it was concluded that there was pressure loss in the boiler and pressure entry to the gas heater which was subsequently confirmed by the client.
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Ready to embark on a pilot project or roll-out AI innovation enterprise wide? Perhaps you need assistance integrating your systems or storing your big data? Whatever the situation, we are ready to help you on your digital transformation.
The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
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'OPUS, an artistic work, especially on a large scale'
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