Qualitative study of Riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox

Autor:	M. Sumathy, Adem Kilicman, M. Maria Susai Manuel, Jesintha Mary
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	riccati difference equations state estimation kalman filter target tracking wind turbine gearbox Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Cogent Engineering, Vol 6, Iss 1 (2019)
Druh dokumentu:	article
ISSN:	2331-1916 23311916
DOI:	10.1080/23311916.2019.1621423
Popis:	Various performance analyses using Interacting Multiple Model (IMM) algorithm for the stability of tracking a maneuvering target are dealt with the state error covariance. A noble way of analyzing the stability of the IMM algorithm for a linear systems with the upper and lower bounds of the error covariance is analyzed. For this persuasion, a two-model Interacting Multiple Model Kalman Filter (IMMKF) with constant acceleration and constant jerk model has been applied for two different case studies. One is tracking a maneuvering target, and the another is tracking a vibration of wind turbine gearbox, which helps to identify failure component in wind energy system. The required data are collected from a radar and a defected gear box of a test wind turbine, and the efficiency of IMM algorithm is analyzed by simulation experiments.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/91d64cd4eac84875b30b9b1b7c41a560 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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