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

Cogent Engineering

Jesintha Mary¹  M. Maria Susai Manuel²  Adem Kilicman²  M. Sumathy³ 

[1] Department of E.E.E, R. M. K. College of Engineering and Technology, Puduvoyal, Tamil Nadu 601 206, S. Indi;Department of Mathematics and Institute for Mathematical Research, Universiti Putra Malaysia, Serdang, Selangor 43400, Malaysi;Department of Science and Humanities, R. M. D. Engineering College, Kavaraipettai, Tamil Nadu 601 206, S. Indi;

关键词: Riccati difference equations;    state estimation;    Kalman filter;    target tracking;    wind turbine;    gearbox;    39A21;    39A22;    39A30;    39A60;   

DOI  :  10.1080/23311916.2019.1621423

来源: Taylor & Francis

【 摘 要 】

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.

【 授权许可】

CC BY