Case Study: Failure Detection in a Combustion Turbine

March 30, 2018

Modern turbine manufacturing is a complex process involving thousands of parts from an intricate supply chain, making it unlikely that any two turbines are exactly the same- and making the probability of a unique defect more common.

Machine learning is uniquely suited to overcoming this challenge. Its ability to dynamically use data to find relationships rather than relying on pre-programmed rules makes it an invaluable technology when preventing the unknown.

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