ART-artificial immune network and application in fault diagnosis of the reciprocating compressor

Maolin Li; Na Wang; Haifeng Du; Jian Zhuang; Sun'an Wang

doi:10.1007/11881223_62

ART-artificial immune network and application in fault diagnosis of the reciprocating compressor

Maolin Li
, Na Wang
, Haifeng Du
, Jian Zhuang
, Sun'an Wang

公共政策与管理学院

Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

Inspired by complementary strategies, a new fault diagnostic method, which integrates with the Adaptive Resonance Theory (ART) and Artificial Immune Network (AIN), is proposed in this paper. With the help of clustering of ART neural network, the vaccines that image features of data set are extracted effectively, and then an AIN named aiNet is adopted to realize data compression. Finally the memory antibodies optimized by aiNet can be used to recognize each feature of original dataset and to realize fault diagnosis. The experimental results show that the approach is useful and efficient for the fault diagnosis of the multilevel reciprocating compressor.

源语言	英语
主期刊名	Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings
出版商	Springer Verlag
页	502-505
页数	4
ISBN（印刷版）	3540459073, 9783540459071
DOI	https://doi.org/10.1007/11881223_62
出版状态	已出版 - 2006
活动	2nd International Conference on Natural Computation, ICNC 2006 - Xi'an, 中国期限: 24 9月 2006 → 28 9月 2006

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	4222 LNCS - II
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	2nd International Conference on Natural Computation, ICNC 2006
国家/地区	中国
市	Xi'an
时期	24/09/06 → 28/09/06

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1007/11881223_62

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, M., Wang, N., Du, H., Zhuang, J., & Wang, S. (2006). ART-artificial immune network and application in fault diagnosis of the reciprocating compressor. 在 Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings (页码 502-505). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4222 LNCS - II). Springer Verlag. https://doi.org/10.1007/11881223_62

Li, Maolin ; Wang, Na ; Du, Haifeng 等. / ART-artificial immune network and application in fault diagnosis of the reciprocating compressor. Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Springer Verlag, 2006. 页码 502-505 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{fd8908ba0a834a2e98c53f117e82c5f0,

title = "ART-artificial immune network and application in fault diagnosis of the reciprocating compressor",

abstract = "Inspired by complementary strategies, a new fault diagnostic method, which integrates with the Adaptive Resonance Theory (ART) and Artificial Immune Network (AIN), is proposed in this paper. With the help of clustering of ART neural network, the vaccines that image features of data set are extracted effectively, and then an AIN named aiNet is adopted to realize data compression. Finally the memory antibodies optimized by aiNet can be used to recognize each feature of original dataset and to realize fault diagnosis. The experimental results show that the approach is useful and efficient for the fault diagnosis of the multilevel reciprocating compressor.",

author = "Maolin Li and Na Wang and Haifeng Du and Jian Zhuang and Sun'an Wang",

year = "2006",

doi = "10.1007/11881223\_62",

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isbn = "3540459073",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "502--505",

booktitle = "Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings",

note = "2nd International Conference on Natural Computation, ICNC 2006 ; Conference date: 24-09-2006 Through 28-09-2006",

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Li, M, Wang, N, Du, H, Zhuang, J & Wang, S 2006, ART-artificial immune network and application in fault diagnosis of the reciprocating compressor. 在 Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 4222 LNCS - II, Springer Verlag, 页码 502-505, 2nd International Conference on Natural Computation, ICNC 2006, Xi'an, 中国, 24/09/06. https://doi.org/10.1007/11881223_62

ART-artificial immune network and application in fault diagnosis of the reciprocating compressor. / Li, Maolin; Wang, Na; Du, Haifeng 等.
Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Springer Verlag, 2006. 页码 502-505 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4222 LNCS - II).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - ART-artificial immune network and application in fault diagnosis of the reciprocating compressor

AU - Li, Maolin

AU - Wang, Na

AU - Du, Haifeng

AU - Zhuang, Jian

AU - Wang, Sun'an

PY - 2006

Y1 - 2006

N2 - Inspired by complementary strategies, a new fault diagnostic method, which integrates with the Adaptive Resonance Theory (ART) and Artificial Immune Network (AIN), is proposed in this paper. With the help of clustering of ART neural network, the vaccines that image features of data set are extracted effectively, and then an AIN named aiNet is adopted to realize data compression. Finally the memory antibodies optimized by aiNet can be used to recognize each feature of original dataset and to realize fault diagnosis. The experimental results show that the approach is useful and efficient for the fault diagnosis of the multilevel reciprocating compressor.

AB - Inspired by complementary strategies, a new fault diagnostic method, which integrates with the Adaptive Resonance Theory (ART) and Artificial Immune Network (AIN), is proposed in this paper. With the help of clustering of ART neural network, the vaccines that image features of data set are extracted effectively, and then an AIN named aiNet is adopted to realize data compression. Finally the memory antibodies optimized by aiNet can be used to recognize each feature of original dataset and to realize fault diagnosis. The experimental results show that the approach is useful and efficient for the fault diagnosis of the multilevel reciprocating compressor.

UR - https://www.scopus.com/pages/publications/33750292611

U2 - 10.1007/11881223_62

DO - 10.1007/11881223_62

M3 - 会议稿件

AN - SCOPUS:33750292611

SN - 3540459073

SN - 9783540459071

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 502

EP - 505

BT - Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings

PB - Springer Verlag

T2 - 2nd International Conference on Natural Computation, ICNC 2006

Y2 - 24 September 2006 through 28 September 2006

ER -

Li M, Wang N, Du H, Zhuang J, Wang S. ART-artificial immune network and application in fault diagnosis of the reciprocating compressor. 在 Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Springer Verlag. 2006. 页码 502-505. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11881223_62

ART-artificial immune network and application in fault diagnosis of the reciprocating compressor

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此