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.
