Equipment Monitoring, Surveillance, and the Industrial Internet

Visual analytics and data science tools can be used to process sensor data to surface patterns that predict equipment problems.

For example, in the Energy sector, sensors attached to production equipment transmit parameter readings like pump intake pressure, current, and temperature. The data is analyzed to produce models correlating parameter changes to equipment problems and then used to flag potential problems in new sensor data, so potential issues can be investigated before production is affected.

The same machine learning methods can be applied in your industry to maximize product yield and other use cases. 

In this event, we describe the visual analytics, data science, and real-time stream processing capabilities of the TIBCO® Connected Intelligence portfolio for ongoing, real-time equipment management and production optimization. 

 

Watch Webinar

To process your registration, TIBCO Software Inc. and TIBCO affiliates (collectively “TIBCO”) need to collect the below personal data from you. By registering for this TIBCO resource, you are consenting to TIBCO processing this data and contacting you by email, telephone, and/or social media with resource-related information.

TIBCO would also like to contact you by email, telephone, and/or social media regarding their products and services that may be of interest to you. Please indicate your consent to this use of your personal data below.

TIBCO may contact me regarding its products and services.