Error compensation in an intelligent sensing instrumentation system

Methods of improving the measurement accuracy by estimation and correction of the maximum error components, are analyzed. The functional structure of the measurement channel in an intelligent sensing instrumentation system is described along with the procedures of component error correction. An experimental setup, implementing such methods in a multi-processing neural network configuration, is presented.

[1]  Volodymyr Turchenko,et al.  Intelligent nodes for distributed sensor network , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[2]  Lucio Grandinetti,et al.  Features of intelligent distributed sensor network higher level development , 2000, Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066].

[3]  Volodymyr Turchenko,et al.  Sensor errors prediction using neural networks , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[4]  Volodymyr Turchenko,et al.  Intelligent distributed sensor network , 1998, IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222).

[5]  J. E. Brignell,et al.  Digital compensation of sensors , 1987 .