Solar Turbines White Paper: Hydrogen Rich Gas Turbine

Anomaly Detection

This free Solar Turbines white paper was written by machine learning and gas turbine expert, Cody Allen Ph.D.. The paper outlines the various machine learning algorithms and methodologies Solar Digital utilizes to detect the anomalous operation of industrial turbomachinery. Machine learning and proactive anomaly detection allows Solar Turbines to dramatically improve the availability and reliability of connected customer equipment all over the world.

Please provide the following information so we can send you a link to the Anomaly Detection white paper.

(Fields with an * are required)

First Name *

Last Name *

Company Name *

Email Address *

Country *

State *

Send Link Reset

Yes, I would like to receive future marketing communications (such as email) from Solar Turbines Incorporated, Caterpillar Inc., their affiliates and subsidiaries worldwide and the Caterpillar dealer network. Regardless of whether you decide to receive these marketing communications, you will continue to receive service or transactional messages, including those related to any registered accounts that you may have with Solar Turbines.