Virtual instrument parameter calibration with particle swarm optimization

Yu Peng; Xiyuan Peng; Shengwei Meng

doi:10.1109/SIS.2003.1202245

Virtual instrument parameter calibration with particle swarm optimization

School of Electronics and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In virtual instrument designs and applications, lots of functional parameters can be set through software methods. Currently, most parameter settings methods are lightly linked with the knowledge of instruments and basic principles related to specific applications. However, it is difficult for some end users to deal with those advanced operations. By adopting the particle swarm optimization (PSO) algorithm, the adaptive set and calibration of instrument parameters can be achieved by software with computational intelligence. Experiments and applications showed that the adaptive parameter calibration method based on the PSO can enhance the effectiveness of debugging and maintenance of virtual instrument and test system.

Original language	English
Title of host publication	2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	42-45
Number of pages	4
ISBN (Electronic)	0780379144, 9780780379145
DOIs	https://doi.org/10.1109/SIS.2003.1202245
State	Published - 2003
Event	2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Indianapolis, United States Duration: 24 Apr 2003 → 26 Apr 2003

Publication series

Name	2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings

Conference

Conference	2003 IEEE Swarm Intelligence Symposium, SIS 2003
Country/Territory	United States
City	Indianapolis
Period	24/04/03 → 26/04/03

Keywords

Artificial neural networks
Calibration
Industrial training
Instruments
Knowledge engineering
Moisture
Optimization methods
Partial response channels
Particle swarm optimization
Temperature

Access to Document

10.1109/SIS.2003.1202245

Cite this

Peng, Y., Peng, X., & Meng, S. (2003). Virtual instrument parameter calibration with particle swarm optimization. In 2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings (pp. 42-45). Article 1202245 (2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIS.2003.1202245

@inproceedings{4642fb11f1b749d7affa825f35dc3fa8,

title = "Virtual instrument parameter calibration with particle swarm optimization",

abstract = "In virtual instrument designs and applications, lots of functional parameters can be set through software methods. Currently, most parameter settings methods are lightly linked with the knowledge of instruments and basic principles related to specific applications. However, it is difficult for some end users to deal with those advanced operations. By adopting the particle swarm optimization (PSO) algorithm, the adaptive set and calibration of instrument parameters can be achieved by software with computational intelligence. Experiments and applications showed that the adaptive parameter calibration method based on the PSO can enhance the effectiveness of debugging and maintenance of virtual instrument and test system.",

keywords = "Artificial neural networks, Calibration, Industrial training, Instruments, Knowledge engineering, Moisture, Optimization methods, Partial response channels, Particle swarm optimization, Temperature",

author = "Yu Peng and Xiyuan Peng and Shengwei Meng",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE Swarm Intelligence Symposium, SIS 2003 ; Conference date: 24-04-2003 Through 26-04-2003",

year = "2003",

doi = "10.1109/SIS.2003.1202245",

language = "英语",

series = "2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "42--45",

booktitle = "2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings",

address = "美国",

}

Peng, Y , Peng, X & Meng, S 2003, Virtual instrument parameter calibration with particle swarm optimization. in 2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings., 1202245, 2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 42-45, 2003 IEEE Swarm Intelligence Symposium, SIS 2003, Indianapolis, United States, 24/04/03. https://doi.org/10.1109/SIS.2003.1202245

Virtual instrument parameter calibration with particle swarm optimization. / Peng, Yu ; Peng, Xiyuan ; Meng, Shengwei.
2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. p. 42-45 1202245 (2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Virtual instrument parameter calibration with particle swarm optimization

AU - Peng, Yu

AU - Peng, Xiyuan

AU - Meng, Shengwei

PY - 2003

Y1 - 2003

N2 - In virtual instrument designs and applications, lots of functional parameters can be set through software methods. Currently, most parameter settings methods are lightly linked with the knowledge of instruments and basic principles related to specific applications. However, it is difficult for some end users to deal with those advanced operations. By adopting the particle swarm optimization (PSO) algorithm, the adaptive set and calibration of instrument parameters can be achieved by software with computational intelligence. Experiments and applications showed that the adaptive parameter calibration method based on the PSO can enhance the effectiveness of debugging and maintenance of virtual instrument and test system.

AB - In virtual instrument designs and applications, lots of functional parameters can be set through software methods. Currently, most parameter settings methods are lightly linked with the knowledge of instruments and basic principles related to specific applications. However, it is difficult for some end users to deal with those advanced operations. By adopting the particle swarm optimization (PSO) algorithm, the adaptive set and calibration of instrument parameters can be achieved by software with computational intelligence. Experiments and applications showed that the adaptive parameter calibration method based on the PSO can enhance the effectiveness of debugging and maintenance of virtual instrument and test system.

KW - Artificial neural networks

KW - Calibration

KW - Industrial training

KW - Instruments

KW - Knowledge engineering

KW - Moisture

KW - Optimization methods

KW - Partial response channels

KW - Particle swarm optimization

KW - Temperature

UR - https://www.scopus.com/pages/publications/84942113114

U2 - 10.1109/SIS.2003.1202245

DO - 10.1109/SIS.2003.1202245

M3 - 会议稿件

AN - SCOPUS:84942113114

T3 - 2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings

SP - 42

EP - 45

BT - 2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2003 IEEE Swarm Intelligence Symposium, SIS 2003

Y2 - 24 April 2003 through 26 April 2003

ER -

Virtual instrument parameter calibration with particle swarm optimization

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Keywords

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