Detecting abnormal situations using the Kullback-Leibler divergence

Automatica

Volumn 50, Issue 11, 2014, Pages 2777-2786

  Zeng, Jiusun ^a,d   Kruger, Uwe ^b   Geluk, Jaap ^c   Wang, Xun ^c   Xie, Lei ^d  

^a CHINA JILIANG UNIVERSITY   (China)

^b SULTAN QABOOS UNIVERSITY   (Oman)

^c KHALIFA UNIVERSITY   (United Arab Emirates)

^d STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Fault detection; Incipient fault condition; Increased sensitivity; Kullback Leibler divergence; Multivariate probability density function

Indexed keywords

FAULT DETECTION; GAUSSIAN DISTRIBUTION; LARGE SCALE SYSTEMS; MULTIVARIANT ANALYSIS;

GAUSSIAN DISTRIBUTED; INCIPIENT FAULTS; INCREASED SENSITIVITY; KULLBACK LEIBLER DIVERGENCE; MULTI-VARIATE PROBABILITY DENSITY FUNCTIONS; MULTIVARIATE STATISTICS; REFERENCE DENSITIES; TECHNICAL SYSTEMS;

PROBABILITY DENSITY FUNCTION;

EID: 84911363912     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2014.09.005     Document Type: Article

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