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

Volumn 3173, Issue , 2004, Pages 744-749

Multisensor data fusion based on independent component analysis for fault diagnosis of rotor

(2) Ma, Xiaojiang a Hao, Zhihua a,b

a DALIAN UNIVERSITY OF TECHNOLOGY (China)

b TANGSHAN COLLEGE (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; FAILURE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; NEURAL NETWORKS; VIBRATION ANALYSIS; VIBRATION MEASUREMENT;

FASTICA ALGORITHMS; FAULT CLASSIFICATION; FAULT DIAGNOSTICS; INDEPENDENT COMPONENTS; MEASUREMENT DATA; MULTISENSOR DATA FUSION; PROBABILISTIC NEURAL NETWORKS; REAL MEASUREMENTS;

FAULT DETECTION;

EID: 35048894350 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-540-28647-9_122 Document Type: Article

Times cited : (3)

References (6)

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- Betta, G.¹ Liguori, C.² Paolillo, A.³ Pietrosanto, A.⁴

2
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- Detecting faults in rotating machines
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3
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- Vibration monitoring
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- Laggan, P.A.¹

4
- 0003021578
- Rotating machine vibration analysis with second-order independent component analysis
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- Ypma, A., Pajunen, P.: Rotating machine vibration analysis with second-order independent component analysis. Proc. of the Workshop on ICA and Signal Separation, Aussois, France, (1999)37-42
- (1999) Proc. of the Workshop on ICA and Signal Separation , pp. 37-42
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5
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- Independent component analysis of vibrations for fault diagnosis of an induction motor
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- Pöyhönen, S., Jover, P., Hyötyniemi, H.: Independent component analysis of vibrations for fault diagnosis of an induction motor. IASTED International Conference on CIRCUITS, SIGNALS, and SYSTEMS. Cancun, Mexico, (2003) 203-208
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- Pöyhönen, S.¹ Jover, P.² Hyötyniemi, H.³

6
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- Fast and robust fixed-point algorithms for independent component analysis
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- Hyvärinen, A.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.