2023
DOI: 10.1088/1361-6501/ad016c
|View full text |Cite
|
Sign up to set email alerts
|

Application of local and global interval embedding algorithms in uncertain system processes

Ning Li,
Hua Ding,
Xiaochun Sun
et al.

Abstract: The data collected during the fault monitoring of industrial processes are often uncertain because of measurement noise, sensor error, and complex working environments. Currently, most of this uncertainty is transformed into interval-value data for processing. However, the traditional interval fault monitoring method (TIFMM) only considers the global information of the interval-valued data and only rarely considers the local neighborhood information, which can characterize the topological relationship between … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
references
References 30 publications
0
0
0
Order By: Relevance