Real-time Equilibrium Reconstruction Using Machine Learning That Is Robust Against Diagnostics Failures

Fusion reactor conditione are prone to diagnostics failures. We present new plasma equilibirum reconstruction techniques that use machine learning based approaches that automatically overcome reconstruction issues if/when diangostics degrade or fail. These techniques are now applied to various fusion test reactors.