Tecnatom Operations Suite

Predictive monitoring in Tecnatom

diciembre 10, 2018

Data can provide great value to maximize the efficiency of industrial systems, thanks to the technological  revolution centred on the information management and automatic analysis. Among the countless methods of obtaining value from data, one of the most explored is that which focuses on the early identification of deviations from normal operation or performance, the so-called predictive monitoring.

What is predictive monitoring?

The main objective of predictive monitoring is the early detection of events (for example, malfunctions, degradation, etc.), with the aim of improving the reliability, security and efficiency of the monitored assets.

Timely identification of deteriorating performance levels makes possible to maximize the time to act, thus alleviating any possible damage caused. Likewise, maintenance costs are also reduced thanks to allow maintenance tasks planning and replacement of components.

How does it work?

From plant life data, including operational and environmental conditions, the predictive monitoring techniques identify incipient deteriorations or malfunctions in the equipment. From the historical records of the normal state of the equipment in different function modes and environmental conditions, different models can be developed which are able to estimate, in real time, the value of each of the significant variables of the process for given operating and boundary conditions. These estimated values are compared with the actual values in order to identify the deviation between the estimated and real value, as precursors to any abnormalities in the operation or condition of the equipment.

What is it used for?

Predictive monitoring can be used in a wide variety of systems and equipment, including not only dynamic equipment such as turbines, pumps, compressors, but also static equipment such as condensers, heat exchangers, reactors, etc. This technology, therefore, provides valuable results for power generation plants (nuclear, combined cycle, wind, hydraulic, solar thermal, etc.), oil and gas facilities, aviation and rail sectors, etc., undoubtedly a wide range of industries.

It is generally used on components and systems with a defined operation pattern, which have operational historical data and are sufficiently sensorised to provide information on their status. Its deployment is quick and flexible because it is done using readily and available instrumentation.

What do we do Tecnatom?

Tecnatom is currently applying predictive monitoring as a relevant tool at the Monitoring Center. The result from the monitoring are combined with our experts knowledge of the process to add maximum value when optimising the operations and maintenance of power plants and other industrial facilities.

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El responsable del tratamiento de los datos es TECNATOM, S.A. quien los tratará con la finalidad de atender su consulta.

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Digital technologies and monitoring

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El responsable del tratamiento de los datos es TECNATOM, S.A. quien los tratará con la finalidad de atender su consulta.

En función de la consulta planteada, podríamos ceder sus datos a las entidades que integran el Grupo TECNATOM. Asimismo, podrán acceder a sus datos los prestadores de servicios de TECNATOM.

Tiene derecho a acceder, rectificar y suprimir sus datos, así como otros derechos, tal y como se explica de forma detallada en nuestra Política de Privacidad.

Al hacer click en el botón “Enviar” declaras conocer y aceptar nuestra Política de Privacidad.

TecOS Suite ensure the safe, efficient and excellent operation of energy and industrial plants. Facilitate our client´s daily work at all levels of the organization. Experience and innovation come together to provide high value-added solutions to our customers. Tecnatom is evolving its services and products, incorporating digital technologies, such as mobility, data analysis, augmented reality, artificial intelligence. Takes advantage of the operation data, equipment condition and inspection and testing results to support the best decisions at the plants, maximizing the business results.