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Volumn 26, Issue 3, 2000, Pages 457-461

Computer Aided Monitoring of Pump Efficiency by Using ART2 Neural Networks

Author keywords

classification; data mining; diagnosis; machine learning; neural network; process monitoring

Indexed keywords


EID: 23044518763     PISSN: 0386216X     EISSN: 13499203     Source Type: Journal    
DOI: 10.1252/kakoronbunshu.26.457     Document Type: Article
Times cited : (12)

References (12)
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  • 2
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    • Davis, J.F.1    Wang, C.-M.2
  • 4
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    • Fujiwara, T.; “Process Modelling for Fault Detection Using Neural Networks”Neural Networks for Chemical Engineering, A. B. Bulsari, ed., p. 283-295, Elsevier, Amsterdam, the Netherlands (1995)
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  • 5
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    • Whiteley, J.R.1    Davis, J.F.2
  • 7
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    • Qualitative Interpretation of Sensor Patterns
    • Whiteley, J. R. and J. F. Davis; “Qualitative Interpretation of Sensor Patterns”IEEE Expert, 8, 54-63 (1993)
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    • Whiteley, J.R.1    Davis, J.F.2
  • 8
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    • A Similarity-Based Approach to Interpretation of Sensor Patterns
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  • 9
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    • Observations and Problems Applying ART 2 for Dynamic Sensor Pattern Interpretation
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.