Sensor fault identification and isolation for multivariate non-Gaussian processes

Journal of Process Control

Volumn 19, Issue 10, 2009, Pages 1707-1715

  Ge, Zhiqiang ^a   Xie, Lei ^a   Kruger, Uwe ^b   Lamont, Lisa ^b   Song, Zhihuan ^a   Wang, Shuqing ^a  

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

^b KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

Fault identification; Fault reconstruction; Non Gaussian processes; Support vector data description

Indexed keywords

CONTROL LIMITS; FAULT IDENTIFICATIONS; FAULT RECONSTRUCTION; MULTIVARIATE PROCESS; NON-GAUSSIAN DISTRIBUTION; NON-GAUSSIAN PROCESS; NON-GAUSSIAN SOURCES; PROCESS CONDITION; SENSOR FAULT; SIMULATION EXAMPLE; SUPPORT VECTOR DATA DESCRIPTION; TENNESSEE EASTMAN;

BENCHMARKING; BLIND SOURCE SEPARATION; DATA DESCRIPTION; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; REPAIR; SENSORS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 71849088402     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2009.05.001     Document Type: Article

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