Investigation on the Condition Evaluation Method Based on NSET Model of the Propulsion System in Large Scale Ship

Author(s):  
Jinxin Zhao ◽  
Jian Zhou ◽  
Peng Shang ◽  
Yinxun Zhang

Abstract The condition of the propulsion system in large scale ship directly affects the quality and safety of the ship’s operation, so it is important to evaluate the condition of the propulsion system. The Nonlinear State Estimation Technology (NSET) method is a nonparametric modeling method, which is mostly used in nuclear power plant sensor calibration, equipment monitoring, and electronic product life prediction. In this paper, the nonlinear state estimation technology (NSET) method is applied to the condition evaluation of the propulsion system. According to the operating characteristics and state parameters of the propulsion system, this paper first performs data preprocessing, and then uses the prepossessed data to perform condition evaluation by the NSET method. The model method can be connected with the database system. It has the advantages of faster evaluation speed and higher precision, and can detect possible failures of equipment system in time. This method has a wide range of adaptability.

2015 ◽  
Vol 51 (12) ◽  
pp. 9942-9963 ◽  
Author(s):  
Judith Yue Li ◽  
Amalia Kokkinaki ◽  
Hojat Ghorbanidehno ◽  
Eric F. Darve ◽  
Peter K. Kitanidis

2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan

In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.


AIChE Journal ◽  
1979 ◽  
Vol 25 (4) ◽  
pp. 718-720 ◽  
Author(s):  
M. A. Soliman ◽  
W. Harmon Ray

2018 ◽  
Vol 3 (4) ◽  
pp. 3347-3354 ◽  
Author(s):  
Stylianos Piperakis ◽  
Maria Koskinopoulou ◽  
Panos Trahanias

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