A methodology for intelligent sensor measurement, validation, fusion, and fault detection for equipment monitoring and diagnostics

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Volumn 15, Issue 4, 2001, Pages 307-320

  Alag, Satnam ^a   Agogino, Alice M ^b   Morjaria, Mahesh ^c  

^a Gazoo Corporation   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c GE Energy Services   (United States)

Author keywords

Monitoring and diagnosis; Sensor fault detection; Sensor fusion; Sensor validation

Indexed keywords

ADAPTIVE ALGORITHMS; EQUIPMENT TESTING; FAILURE ANALYSIS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; MONITORING; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SENSOR DATA FUSION; STATISTICAL METHODS;

EQUIPMENT MONITORING; INTELLIGENT SENSOR MEASUREMENT; NONLINEAR REGRESSION-BASED EMPIRICAL MODELS; PARAMETER ADAPTATION ALGORITHM; REDUNDANCY CREATION; SENSOR FAULT DETECTION; SENSOR VALIDATION; STATE PREDICTION;

ARTIFICIAL INTELLIGENCE;

EID: 0035439313     PISSN: 08900604     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0890060401154053     Document Type: Article

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