A new approach is developed for estimating and correcting digital thermal network errors based upon achieving statistical reconciliation between model predictions and observed results. The development is preceded by a review of the general theory of thermal networks and the development of the canonical forms of networks and their error models. Application of the technique promises improved thermal prediction accuracy of complex systems using simplified network models.

This content is only available via PDF.
You do not currently have access to this content.