Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Research of Sensors Failures Diagnosis Based on Noise Analysis

Authors
Aidong Xu, Yuanfeng Liu, Jing Jiang, Mingzhe Liu, Bingjun Yan, Qinning Liu
Corresponding Author
Aidong Xu
Available Online July 2015.
DOI
10.2991/icismme-15.2015.292How to use a DOI?
Keywords
noise analysis; diagnosis; sensor failure; power spectral density curve
Abstract

When the components of the system begin to loose or experience other physical change, the features of the sound signal generated by the running system will be changed. One of the main contents of the noise analysis is to obtain the operating status information of equipment through the noise measurement and analysis. In this paper, the noise analysis technique is applied to the diagnosis of sensor failures. The noise signal from the sensor output is used to achieve system characteristic value, and then it is used to diagnose the operating status of the sensor. The experiment was conducted for thermowell connection failure, and the experiment result shows the efficiency of the proposed method.

Copyright
© 2015, 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 First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.292How to use a DOI?
Copyright
© 2015, 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  - Aidong Xu
AU  - Yuanfeng Liu
AU  - Jing Jiang
AU  - Mingzhe Liu
AU  - Bingjun Yan
AU  - Qinning Liu
PY  - 2015/07
DA  - 2015/07
TI  - Research of Sensors Failures Diagnosis Based on Noise Analysis
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1366
EP  - 1371
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.292
DO  - 10.2991/icismme-15.2015.292
ID  - Xu2015/07
ER  -