Webinar

Using Soft Sensors to Monitor Critical Process Measurements

Maximise asset performance, minimise asset costs

Date

15/04/2021

Time

11:30-12:20

Location

Online

What can Soft Sensors do for you?

Soft Sensors are software-based models that calculate/predict parameters that cannot be measured directly, or provide expected outputs for process measurements that are important to keep an eye on.

UReason uses Soft Sensors quite often in applications and solutions that are co-developed with our customers. In this webinar we would like to share our knowledge on using Soft Sensors successfully.

In the first 30 minutes, we discuss:

  • What Soft Sensors are;
  • How you can use your existing historical data to create Soft Sensors; and
  • How Soft Sensors are used to monitor your critical processes and assets.

The webinar session is followed by a 20-minute Q&A session.

We use APM-Studio’s functionality to run Soft Sensors for critical process parameters. This way we have an extra set of ‘sensors’ on-line that inform us early of sensor drift and malfunction. It was really easy setting up and deploying the Soft Sensor models in APM-Studio and replicating this across multiple sites.

Process Engineer – Chemical Industry.

Speaker

Jules Oudmans is one of the co-founders of UReason, a provider of technology products and services enabling companies to quickly create intelligent applications that automate complex reasoning on large quantities of real-time data and events. Jules is a seasoned professional active in the field of operational intelligence and real-time analytics. He has set vision and supported early adaptors and co-visionaries in Oil & Gas, Petro(chemical), Utilities, Pulp & Paper, Defense and Telecom industries at companies such as Halliburton, BP, Motorola, Siemens, Shell, Cargill, Lyondell and BG/Transco.

Jules has a broad range of experience in consultancy, project development and project management roles for customers and prospective customers, throughout Europe, the Middle-East and North America.

 

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