Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

Weighing Strategy Based on Dynamic Signal Processing Technology

Authors
Mutian Zhu
Corresponding Author
Mutian Zhu
Available Online September 2012.
DOI
10.2991/emeit.2012.256How to use a DOI?
Keywords
signal correlation, normalized LMS, cancel noises, fuzzy partition.
Abstract

Loaders weighing process is affected by the lifting position, acceleration, and mechanical vibration and other factors, the measurement accuracy of the conventional way is difficult to improve. This paper proposes a set of estimation algorithm which uses the correlation between the weighting measuring signal and the carrier-free signal in the same state. This paper faintly differentiates many kinds of noises to lift acceleration and adopts a methods based on normalized LMS to estimate the adaptation of two kinds of signals so as to cancel noises. In this way, the measuring accuracy is improved.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
10.2991/emeit.2012.256
ISSN
1951-6851
DOI
10.2991/emeit.2012.256How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mutian Zhu
PY  - 2012/09
DA  - 2012/09
TI  - Weighing Strategy Based on Dynamic Signal Processing Technology
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1168
EP  - 1172
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.256
DO  - 10.2991/emeit.2012.256
ID  - Zhu2012/09
ER  -