A study on the method of impact mass estimation of loose parts

2014 ◽  
Vol 70 ◽  
pp. 242-248
Author(s):  
Li-Xian Fang ◽  
Tian-Tian Ji ◽  
Fu Zeng ◽  
Wei Zhang ◽  
Yong-Cheng Xie ◽  
...  
Keyword(s):  
Mass Estimation ◽  
Loose Parts ◽  
Impact Mass

Mass estimation using a loose parts monitoring system

2000 ◽  
Vol 36 (2) ◽  
pp. 109-122 ◽  
Author(s):  
Jung-Soo Kim ◽  
Joon Lyou
Keyword(s):  
Monitoring System ◽  
Mass Estimation ◽  
Loose Parts

Mass estimation of loose parts in nuclear power plant based on multiple regression

2012 ◽  
Vol 23 (5) ◽  
pp. 054011 ◽  
Author(s):  
Yuanfeng He ◽  
Yanlong Cao ◽  
Jiangxin Yang ◽  
Chunbiao Gan
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Multiple Regression ◽  
Nuclear Power ◽  
Mass Estimation ◽  
Loose Parts

scholarly journals Model-based localization and mass-estimation methodology of metallic loose parts

2020 ◽  
Vol 52 (4) ◽  
pp. 846-855
Author(s):  
Seongin Moon ◽  
Seongjin Han ◽  
To Kang ◽  
Soonwoo Han ◽  
Munsung Kim
Keyword(s):  
Mass Estimation ◽  
Model Based ◽  
Loose Parts

AN IMPACT SOURCE IDENTIFICATION TECHNIQUE FOR A SHELL TYPE STRUCTURE

2008 ◽  
Vol 22 (11) ◽  
pp. 1159-1164
Author(s):  
DOO-BYUNG YOON ◽  
JIN-HO PARK ◽  
YOUNG-CHUL CHOI ◽  
HYU-SANG KWON
Keyword(s):  
Type Structure ◽  
Experimental Result ◽  
Center Frequency ◽  
Noisy Environment ◽  
Mass Estimation ◽  
Time Frequency ◽  
Shell Type ◽  
Analysis Technique ◽  
Identification Technique ◽  
Impact Mass

A time-frequency analysis technique is proposed to enhance the estimation capability for an impact mass for a shell type structure. The validity of the proposed method is verified through an experiment. The experimental result demonstrates that the proposed method is valid for estimating the center frequency of an impact response signal easily, even in a noisy environment. It is expected that the proposed method can be used to enhance the accuracy of an impact mass estimation for a shell type structure.

A Method for Mass Estimation of Loose Parts in Nuclear Power Plant Based on Support Vector Machine

2010 ◽  
Vol 437 ◽  
pp. 384-388
Author(s):  
Hua Wen Zheng ◽  
Yan Long Cao ◽  
Jiang Xin Yang ◽  
Yuan Feng He
Keyword(s):  
Support Vector Machine ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Predictive Coding ◽  
Support Vector ◽  
Linear Predictive Coding ◽  
Mass Estimation ◽  
Loose Parts ◽  
The Impact

A new method for mass estimation of loose parts in nuclear power plant (NPP) based on the support vector machine (SVM) was proposed. It includes analyses of the relationship between the impact signals’ frequency spectrum and the mass of loose part, then formation of a vector consisting of linear predictive coding (LPC) parameters, which represent the shape of spectrum of impact signal. Using the vector as input data and the mass of loose part as the output data to train the SVM, the mass estimation can be done by the trained SVM model. Experimental results show that the method has higher accuracy and easier to achieve than the traditional methods. It provides a new way for mass estimation of loose part in NPP.

scholarly journals Enhancement of Impact Mass Estimation Algorithm for a Plate Type Structure

2007 ◽  
Vol 48 (6) ◽  
pp. 1249-1253
Author(s):  
Doo-Byung Yoon ◽  
Jin-Ho Park ◽  
Young-Chul Choi ◽  
Hyu-Sang Kwon ◽  
Joon-Hyun Lee
Keyword(s):  
Estimation Algorithm ◽  
Type Structure ◽  
Mass Estimation ◽  
Plate Type ◽  
Impact Mass
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