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

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 co...

Full description

Bibliographic Details
Main Authors: Sumathy, M., Kilicman, Adem, Manuel, M. Maria Susai, Mary, Jesintha, Pham, Duc
Format: Article
Language:English
Published: Cogent OA 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81898/
http://psasir.upm.edu.my/id/eprint/81898/1/Qualitative%20study%20of%20riccati%20difference%20equation%20on%20maneuvering%20target%20tracking%20and%20fault%20diagnosis%20of%20wind%20turbine%20gearbox.pdf
_version_ 1848859194526007296
author Sumathy, M.
Kilicman, Adem
Manuel, M. Maria Susai
Mary, Jesintha
Pham, Duc
author_facet Sumathy, M.
Kilicman, Adem
Manuel, M. Maria Susai
Mary, Jesintha
Pham, Duc
author_sort Sumathy, M.
building UPM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T12:25:28Z
format Article
id upm-81898
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T12:25:28Z
publishDate 2019
publisher Cogent OA
recordtype eprints
repository_type Digital Repository
spelling upm-818982020-10-17T15:09:53Z http://psasir.upm.edu.my/id/eprint/81898/ Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox Sumathy, M. Kilicman, Adem Manuel, M. Maria Susai Mary, Jesintha Pham, Duc 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. Cogent OA 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81898/1/Qualitative%20study%20of%20riccati%20difference%20equation%20on%20maneuvering%20target%20tracking%20and%20fault%20diagnosis%20of%20wind%20turbine%20gearbox.pdf Sumathy, M. and Kilicman, Adem and Manuel, M. Maria Susai and Mary, Jesintha and Pham, Duc (2019) Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox. Cogent Engineering, 6 (1). ISSN 2331-1916 https://www.tandfonline.com/doi/full/10.1080/23311916.2019.162142309 10.1080/23311916.2019.1621423
spellingShingle Sumathy, M.
Kilicman, Adem
Manuel, M. Maria Susai
Mary, Jesintha
Pham, Duc
Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
title Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
title_full Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
title_fullStr Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
title_full_unstemmed Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
title_short Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
title_sort qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
url http://psasir.upm.edu.my/id/eprint/81898/
http://psasir.upm.edu.my/id/eprint/81898/
http://psasir.upm.edu.my/id/eprint/81898/
http://psasir.upm.edu.my/id/eprint/81898/1/Qualitative%20study%20of%20riccati%20difference%20equation%20on%20maneuvering%20target%20tracking%20and%20fault%20diagnosis%20of%20wind%20turbine%20gearbox.pdf