Research on transformer health condition evaluation method based on clustering analysis and dynamic feature extraction

2020 ◽  
Author(s):  
Rui Han ◽  
Wenhao Wang ◽  
Peng Jiang ◽  
Feiran Li ◽  
Shuang Liu ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Clustering Analysis ◽  
Evaluation Method ◽  
Health Condition ◽  
Dynamic Feature ◽  
Condition Evaluation

Theoretical Study on Bridge Structure Condition Evaluation Based on Health Monitoring Data

2014 ◽  
Vol 599-601 ◽  
pp. 751-754
Author(s):  
Zhao Lan Wei ◽  
Rui Yu ◽  
Chu Yun Cheng
Keyword(s):  
Evaluation Method ◽  
Monitoring Data ◽  
Evaluation Theory ◽  
Interval Numbers ◽  
Subjective Weight ◽  
Condition Evaluation ◽  
Interval Extension ◽  
Index Variation ◽  
Confidence Degree ◽  
Grade Division

After processed the signals obtained from monitoring system, one theory of condition evaluation was proposed on basis of a new evaluation parameter—index variation. One new condition grade division method was proposed from approximate statistic distribution of index variation, and as per the concept of confidence degree and confidence interval. Because the monitoring data and the standard of condition grade division were all interval numbers, interval extension evaluation theory was adopted to establish the model of condition evaluation. Set-Valued Statistics and gravity center based decision theory were introduced to divide weight into subjective weight and objective weight to make calculation. This evaluation method was found to be reasonable and had good project practicability.

Health status evaluation method of CNC machine tools based on grey clustering analysis and fuzzy comprehensive evaluation

2021 ◽  
pp. 1-18
Author(s):  
Xiaoqing Huang ◽  
Zhilong Wang ◽  
Shihao Liu
Keyword(s):  
Health Status ◽  
Clustering Analysis ◽  
Machine Tools ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Grey Clustering

In order to solve the problem of health evaluation of CNC machine tools, an evaluation method based on grey clustering analysis and fuzzy comprehensive evaluation was proposed. The health status grade of in-service CNC machine tools was divided, and the performance indicator system of CNC machine tools was constructed. On the above basis, the relative importance of each performance and its indicators were combined, and grey clustering analysis and fuzzy comprehensive evaluation was utilized to evaluate the health status of in-service CNC machine tools to determine their health grade. The proposed health status evaluation method was applied to evaluate the health level of an in-service gantry CNC machine that can be used for the machining propellers, and the results shown that the health status of the whole gantry CNC machine tool is healthy. The proposed evaluation method provides useful references for further in-depth research on the health status analysis and optimization of CNC machine tools.

Analysis of Performance Evaluation Index for bridge group networking monitoring and collaborative supervision

2021 ◽  
Author(s):  
Liye Zhang ◽  
Yong He ◽  
Shoushan Cheng ◽  
Guoliang Wang ◽  
Hongwei Ren ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Evaluation Method ◽  
Field Testing ◽  
Technical Condition ◽  
Evaluation Index ◽  
Technical Problems ◽  
Condition Evaluation ◽  
Bridge Group ◽  
Performance Evaluation Index ◽  
And Performance

<p>With the number of bridges increases, the bridge health monitoring (BHM) technique is developing from single bridge monitoring to collaborative supervision of bridge group. Therefore, there are many technical problems need to be solved especially the performance evaluation index for bridge group network. This paper analyses the performance evaluation index of the bridges and bridge group network, establishes the performance evaluation index for bridge group based on rating factor (RF) and technical condition evaluation index. Based on bridge field testing and monitoring data, bridge technical condition evaluation index and performance evaluation method for bridge group are proposed. A case study demonstrates that the research results provide support for bridge group networking monitoring and collaborative supervision.</p>

scholarly journals Classification of data stream based on dynamic feature extraction and neural network

2010 ◽  
Vol 30 (6) ◽  
pp. 1539-1542
Author(s):  
Cheng-liang WANG ◽  
Xu PANG ◽  
Zhi-jian LU ◽  
Chang-yin LUO
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Data Stream ◽  
Dynamic Feature
Sign in / Sign up

Export Citation Format

Share Document