Comparing Parameter Estimation Techniques for an Electrical Power Transformer Oil Temperature Prediction Model by National Aeronautics and Space Adm Nasa

Comparing Parameter Estimation Techniques for an Electrical Power Transformer Oil Temperature Prediction Model

National Aeronautics and Space Adm Nasa

36 pages • missing pub info (view editions)

nonfiction science informative medium-paced
Powered by AI (Beta)
Loading...

Description

This paper examines various sources of error in MIT's improved top oil temperature rise over ambient temperature model and estimation process. The sources of error are the current parameter estimation technique, quantization noise, and post-proces...

Read more

Community Reviews

Loading...

Content Warnings

Loading...