Latent variable study algorithm based on grey cluster relation analysis method

2009 ◽  
Author(s):  
Ying Qu ◽  
Jian Jia ◽  
Qi-zong Wu
Keyword(s):  
Latent Variable ◽  
Analysis Method ◽  
Relation Analysis

Research on Latent Factor Model and its Optimization Algorithms of Machine Learning

2015 ◽  
Vol 734 ◽  
pp. 495-498
Author(s):  
Qing Feng Li
Keyword(s):  
Machine Learning ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Data Structures ◽  
Latent Variable ◽  
Factor Model ◽  
Hidden Variables ◽  
Supervised Machine Learning ◽  
Analysis Method ◽  
Main Work

There are some bottleneck problems in the supervised machine learning and unsupervised machine learning. In view of the current problems, this paper tries to make some meaningful exploration. The main work is as follows: Research on the statistical analysis of factor analysis and latent variable and in some valuable research results of typical machine learning, and some no analysis method and factor analysis of supervised learning or hidden variables method to contact with the typical analysis, summary of the comprehensive characteristics of implicit factor model and to reveal the hiding data structures help and contributions.

A Failure Analysis Method Based on the Combination of FTA and GGRA: A Case Study on an Engine

2021 ◽  
Vol 53 ◽  
pp. 53-66
Author(s):  
Jun Li Shi ◽  
Huai Zhi Wang ◽  
Jun Yu Hu ◽  
Yun Dong Ma ◽  
Ming Yang Ma ◽  
...  
Keyword(s):  
Failure Analysis ◽  
System Failure ◽  
Analysis Method ◽  
Product System ◽  
Grey Relation Analysis ◽  
Complex Product ◽  
Relation Analysis ◽  
Fault Mode ◽  
Grey Relation

As product structure becomes more and more complex, the fault mode presents a diversified trend, and it is more difficult to determine the causes of system failure for a complex product. The main objective of this study is to provide an effective failure analysis method based on the combination of fault trees analysis (FTA) and generalized grey relation analysis (GGRA) for complex product. In this method, the product system failure is defined and the fault tree is constructed by FTA methodology firstly; and then GGRA is employed to identify the correlations between each fault mode and the system failure; finally, the main causes of system failure are identified and the corresponding measures can be made. A case study of a WD615 Steyr engine is conducted throughout the text to verify the validity of this method. The present study would help facilitate the failure and reliability analysis for complex product and benefit designers for the product improvement.

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