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.