Getting the most out of a gas turbine is key to managing power grids around the world, where shaving seconds off start-up and shut-down times keeps utilities afloat. So gas turbine manufacturer Mitsubishi Hitachi Power Systems is now looking to machine-learning algorithms to keep their turbines optimized at a new test facility in Japan.
“When we talk about A.I., this kind of machine learning right now is for operations and maintenance,” says Todd Brezler, vice president of marketing for MHPS Americas. “We’re looking at unplanned downtime. It’s more of an opportunity to understand and detect failures before they happen.”