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Volumn , Issue , 2008, Pages 414-419

On preprocessing multi-channel sensor data for online process monitoring

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; INJECTION MOULDING; MULTI CHANNEL SENSORS; MULTICHANNEL DATA; ON-LINE PROCESS MONITORING; ONLINE MONITORING; PHYSICAL INTERPRETATION; PREPROCESSING MODULES; PRODUCTION PROCESS; PROOF OF CONCEPT; REASONING ENGINE;

EID: 70449564477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2008.91     Document Type: Conference Paper
Times cited : (6)

References (17)
  • 2
    • 34548706637 scopus 로고    scopus 로고
    • A framework for discovering anomalous regimes in multivariate time-series data with local models
    • Stanford, U.S.A
    • S. Bay, K. Saito, N. Ueda, and P. Langley, "A framework for discovering anomalous regimes in multivariate time-series data with local models, " in Symposium on Machine Learning for Anomaly Detection, Stanford, U.S.A., 2004.
    • (2004) Symposium on Machine Learning for Anomaly Detection
    • Bay, S.1    Saito, K.2    Ueda, N.3    Langley, P.4
  • 3
    • 0034832620 scopus 로고    scopus 로고
    • Outlier detection for high dimensional data
    • C.C. Aggarwal and P.S. Yu, "Outlier Detection for High Dimensional Data, " SIGMOD Conference, 2001.
    • (2001) SIGMOD Conference
    • Aggarwal, C.C.1    Yu, P.S.2
  • 6
    • 21144473917 scopus 로고
    • Joint estimation of model parameters and outlier effects in time series
    • C. Chen and L. Liu, "Joint Estimation of Model Parameters and Outlier Effects in Time Series, " Journal of the American Statistical Association, 88: 284-297, 1993.
    • (1993) Journal of the American Statistical Association , vol.88 , pp. 284-297
    • Chen, C.1    Liu, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.