Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/sage/diagnosis-of-the-doubly-fed-induction-generator-of-a-wind-turbine-2PiH60mgFS
References (29)
-
D. Rollins, James Davis (1992)
Unbiased estimation of gross errors in process measurementsAiche Journal, 38
-
D. Hodouin, M. Everell (1980)
A hierarchical procedure for adjustment and material balancing of mineral processes dataInternational Journal of Mineral Processing, 7
-
Shankar Narasimhan, Richard Mah (1987)
Generalized likelihood ratio method for gross error identificationAiche Journal, 33
-
Joseph Rosenberg, Richard Mah, C. Iordache (1987)
Evaluation of schemes for detecting and identifying gross errors in process dataIndustrial & Engineering Chemistry Research, 26
-
M. Bagajewicz, Qiyou Jiang (1997)
Integral approach to plant linear dynamic reconciliationAiche Journal, 43
-
C. Iordache, Richard Mah, A. Tamhane (1985)
Performance studies of the measurement test for detection of gross errors in process dataAiche Journal, 31
-
(2002)
Patrouix. Wind Variations Effects on the Power Quality for Different Controls of a Variable-Speed Wind Turbine -
I. Tjoa, L. Biegler (1991)
Simultaneous strategies for data reconciliation and gross error detection of nonlinear systemsComputers & Chemical Engineering, 15
-
C. Crowe (1983)
Reconciliation of process flow rates by matrix projection. Part II: The nonlinear caseAiche Journal, 32
-
C. Crowe, Y. Campos, A. Hrymak (1983)
Reconciliation of Process Flow Rates by -
N. Héraud, D. Maquin, J. Ragot (1991)
Multilinear balance equilibration: Application to a complex metallurgical processMining, Metallurgy & Exploration, 8
-
(1961)
Computer Control . II . Mathematics of Control -
S. Narasimhan, Cornelius Jordache (1999)
Data reconciliation & gross error detection: an intelligent use of process data -
V. Václavek, M. Loučka (1976)
Selection of measurements necessary to achieve multicomponent mass balances in chemical plantChemical Engineering Science, 31
-
D. Simpson, V. Voller, M. Everett (1991)
An efficient algorithm for mineral processing data adjustmentInternational Journal of Mineral Processing, 31
-
V. Václavek (1969)
Studies on system engineering. II. On the application of the calculus of observations in calculations of chemical engineering balancesCollection of Czechoslovak Chemical Communications, 34
-
Haritza Camblong (2003)
Minimisation de l'impact des perturbations d'origine éolienne dans la génération d'électricité par des aérogénérateurs à vitesse variable -
(2002)
Comparison of Different Control Strategies to Study Power Quality in a Variable Speed Wind Turbine -
Richard Mah, G. Stanley, D. Downing (1976)
Reconcillation and Rectification of Process Flow and Inventory DataIndustrial & Engineering Chemistry Process Design and Development, 15
-
J. Knepper, J. Gorman (1980)
Statistical analysis of constrained data setsAiche Journal, 26
-
K. Anderson (1994)
The estimation of parameters in nonlinear, implicit measurement error models with experiment-wide measurements -
J. Romagnoli, G. Stephanopoulos (1981)
Rectification of process measurement data in the presence of gross errorsChemical Engineering Science, 36
-
(1965)
Adjustment of Experimental Data -
R. Serth, W. Heenan (1986)
Gross error detection and data reconciliation in steam-metering systemsAiche Journal, 32
-
H. Britt, R. Luecke (1973)
The Estimation of Parameters in Nonlinear, Implicit ModelsTechnometrics, 15
-
G. Stanley, Richard Mah (1977)
Estimation of flows and temperatures in process networksAiche Journal, 23
-
(1992)
Unbiased Estimation Technique for Identification of Gross Errors -
V. Václavek, M. Kubicek, V. Hlavácek, M. Marek (1968)
Studies on system engineering. I. Calculation of material and enthalpy balances on a computerCollection of Czechoslovak Chemical Communications, 33
-
(1985)
Performance Studies of the Measurement Test for Detecting of Gross Error
- Publisher
- SAGE
- Copyright
- © 2005 SAGE Publications
- ISSN
- 0309-524X
- eISSN
- 2048-402X
- DOI
- 10.1260/030952405775992607
- Publisher site
- See Article on Publisher Site
Abstract
This paper presents a method of identifying and estimating gross errors for linear dynamic systems. The method is applied to wind power, in particular the doubly-fed induction generator. Measurements have errors, but it is possible to reduce the effect of such errors on control by exploiting relationships between the different variables of the system. Such analysis is called ‘data validation’. Data validation uses a mathematical model, based on equations, to simulate the real dynamic system. An analysis of systematic errors is made using a measurement test. The method has the potential to support the on-line multiparameter data analysis, and hence maintenance, of complex systems, such as wind turbines.
Journal
Wind Engineering – SAGE
Published: Sep 1, 2005