Forecasting turbine problems by means of the state space framework

Journal of Loss Prevention in the Process Industries

Volumn 24, Issue 4, 2011, Pages 432-439

  Carnero, María Carmen ^a,b   Pedregal, Diego J ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b Instituto de Investigaciones Energéticas y Aplicaciones Industriales Campus Universitario de Ciudad Real   (Spain)

Author keywords

Continuous time; Expected cost per unit of time; Kalman filter; State space; Statistical model; Vibration analysis

Indexed keywords

ALARM LEVEL; ALTERNATIVE SYSTEMS; CONTINUOUS TIME; COST MODELS; EXPECTED COSTS; FORECASTING PERFORMANCE; FORECASTING SYSTEM; LOCAL MEAN; REGRESSION MODEL; STATE SPACE; STATE-SPACE FRAMEWORK; STATISTICAL MODELS; STATISTICAL PROPERTIES; VIBRATION STATE;

CONDITION MONITORING; CONTINUOUS TIME SYSTEMS; COSTS; INDUSTRIAL PLANTS; MAXIMUM LIKELIHOOD; REGRESSION ANALYSIS; TURBINES; VIBRATION ANALYSIS;

FORECASTING;

EID: 79956368060     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2011.03.006     Document Type: Article

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