Parameter Analysis Method of Cold Insulated Superconducting Cable Based on Field-Circuit Coupling

2020 ◽  
Author(s):  
Huiming Zhang ◽  
Yijun Du ◽  
Ming Qiu ◽  
Jian Zheng ◽  
Guping Wang
Keyword(s):  
Parameter Analysis ◽  
Analysis Method

Silicon Carbide Ceramic Turning Process Design and Parameter Analysis

2014 ◽  
Vol 800-801 ◽  
pp. 203-207
Author(s):  
Zhen Bo Wang ◽  
Liang Zhang ◽  
Shu Zhi Li
Keyword(s):  
Silicon Carbide ◽  
Process Design ◽  
Numerical Control ◽  
Parameter Analysis ◽  
Machining Process ◽  
Analysis Method ◽  
Single Factor ◽  
Turning Process ◽  
Silicon Carbide Ceramic ◽  
Single Factor Analysis

This article mainly aims at the problem of silicon carbide ceramic mechanical turning difficult processing,by adopting the method of the numerical control turning processing.Design a special fixtures and a NC machining process to accomplish the manufacture of silicon carbide plate.And through the single factor analysis method to process parameters were analyzed.

Improvement in EIS diagnosis accuracy using a multi-frequency parameter analysis method: preliminary results

2008 ◽  
Vol 29 (10) ◽  
pp. 1221-1231 ◽  
Author(s):  
Ji Zhenyu ◽  
Dong Xiuzhen ◽  
Liu Ruigang ◽  
Wang Kan ◽  
Shi Xuetao ◽  
...  
Keyword(s):  
Frequency Parameter ◽  
Parameter Analysis ◽  
Analysis Method ◽  
Preliminary Results ◽  
Diagnosis Accuracy

Experimental Study on Rubbing Acoustic Emission for Rotor-Bearing System Based on Parameter Analysis

2009 ◽  
Vol 413-414 ◽  
pp. 513-519
Author(s):  
Yong Yong He ◽  
Xin Yun Yin
Keyword(s):  
Experimental Study ◽  
Acoustic Emission ◽  
Elastic Strain ◽  
Rotating Machinery ◽  
Parameter Analysis ◽  
Analysis Method ◽  
Traditional Methods ◽  
Rotor Bearing ◽  
Bearing System

Rubbing between the rotor and the stator is the frequent fault and will cause very serious accident, even catastrophe, to rotating machinery. Therefore, timely detection of such rubbing is very important avoid severe consequences. Vibration based methods are very mature and traditional methods but not effective to detect incipient rubbing in rotating machinery. Rubbing between the rotor and the stator will cause elastic strain in the rubbing location and thus can produce acoustic emission (AE). Apparently, such AE contains direct and abundant information about the rubbing and can be used to detect and diagnose such fault effectively. In this paper, the AE based method is proposed for detecting and identifying the rubbing of the rotor-bearing system. An experimental study is presented to investigate the characteristics and features of rubbing AE using parameter analysis method. The results show that AE is very sensitive to the rubbing and AE parameters can reveal the characteristics and features of rubbing AE. Parameter analysis demonstrates that rubbing AE contains multiple modals, which will attenuate with propagation by negative exponent manner.

scholarly journals Tumor imaging diagnosis analysis based on improved KNN algorithm

2021 ◽  
Vol 2132 (1) ◽  
pp. 012018
Author(s):  
Cailing Wang ◽  
LeiChao Li ◽  
SuQiang He ◽  
Jing Zhang
Keyword(s):  
Tumor Imaging ◽  
Image Features ◽  
Parameter Analysis ◽  
Analysis Method ◽  
Abnormality Detection ◽  
Practical Applications ◽  
Classification Image ◽  
Image Characteristics ◽  
Training Samples

Abstract As a simple, effective and non-parameter analysis method, knn is widely used in text classification, image recognition, etc. [1]. However, this method requires a lot of calculations in practical applications, and the uneven distribution of training samples will directly lead to a decrease in the accuracy of tumor image classification. To solve this problem, we propose a method based on dynamic weighted KNN to improve the accuracy of classification, which is used to solve the problem of automatic prediction and classification of medical tumor images based on image features and automatic abnormality detection. According to the classification of tumor image characteristics, it can be divided into two categories: benign and malignant. This method can assist doctors in making medical diagnosis and analysis more accurately. The experimental results show that this method has certain advantages compared with the traditional KNN algorithm.

Design of Double-Deck Isolation Systems

2010 ◽  
Vol 118-120 ◽  
pp. 389-393
Author(s):  
Qun Zhao ◽  
Chen Zhang ◽  
Jin Fang Zhao
Keyword(s):  
Dry Friction ◽  
Parameter Analysis ◽  
Analysis Method ◽  
Structural Damping ◽  
Transfer Path ◽  
Fluid Damping ◽  
Path System ◽  
Linear Damping ◽  
Isolation Systems ◽  
Dry Friction Damping

On the basis of the powerflow theory and four-end parameter analysis method, the responses and the powerflow characteristics of the vibration transfer path system are examined. The sensitivity of non-linear damping is employed as measurement criterion. The powerflow and powerflow sensitivity are obtained and the effect on powerflow and powerflow sensitivity of dry friction damping, fluid damping and structural damping is studied. Numerical results are also presented and discussed. It is supposed to study the sensitivity of these parameters, to estimate the effect of the change of parameters, to improve the design performance.

Experiment Study and Process Parameters Analysis on Turbo Air Classifier for Talc Powder

2012 ◽  
Vol 446-449 ◽  
pp. 522-527
Author(s):  
Yuan Yu ◽  
Jia Xiang Liu ◽  
Li Ping Gao
Keyword(s):  
Process Parameters ◽  
Classification Performance ◽  
Parameter Analysis ◽  
Analysis Method ◽  
Sample Data ◽  
Parameters Analysis ◽  
Air Classifier ◽  
The One ◽  
Building Engineering

Talc powder is widely used in building engineering, especially preparation for coating, waterproof material and ceramics. With increasing demands for building material quality, the requirement for the particle fineness and particle-size distribution of talc power becomes higher than ever. A new method of process parameters analysis on turbo air classifier for talc powder is put forward in this paper. The effect of the two process parameters on a classification performance index is reflected visually through the 3-D drawing based on Matlab, so the one-dimensional process parameter analysis method is expanded to the two-dimensional process parameters analysis method. In the present study, a turbo air classifier is used as the classification system and fine talc powder is used as materials. The sample data is gathered through setting different process parameters. The experiment results show that process parameters analysis can be implemented quickly and visually. In actual production applications of turbo air classifier system, the user can select the suitable process parameters flexibly considering the production requirements according to the 3-D meshes based on Matlab. This method is also applicable for classification of other powder.

Sign in / Sign up

Export Citation Format

Share Document