A technique for using unfailed instrument outputs to generate optimal estimates of failed sensor outputs is presented and evaluated. The technique uses a bank of discrete, linear Kalman filters, each dedicated to one instrument, and a combinatory logic to perform the output estimation. The technique is tested using measurement data from a university research reactor.