A recursive least-squares algorithm for on-line 1-D inverse heat conduction estimation

✍ Scribed by Ching-China Ji; Pan-Chio Tuan; Horng-Yung Jang

• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 902 KB
• Volume: 40
• Category: Article
• ISSN: 0017-9310
• DOI: 10.1016/s0017-9310(96)00289-x

✦ Synopsis

The recursive least-squares algorithm was adopted to investigate the estimation of surface heat flux of inverse heat conduction problem from experimental data. The Kalman filtering technique which accounte'd for the residual innovation sequence and the least-squares estimation which accounted for computing heat flux was introduced to treat one-dimensional inverse heat conduction problem. By virtue of recurs:.ve algorithm, an on-line estimation can be made in place of batch form off-line estimation, The method is adequate for impulse heat flux estimation.