System regulation by the combination of the PCA and the fuzzy logic

This paper proposes a monitoring and regulation approach by combining main component analysis and fuzzy logic. This approach is applied to a motorway history of four variables: traffic density, flow rate, average speed and occupancy rate, and 900 observations. The ACP is used to detect defects by th...

Full description

Saved in:
Bibliographic Details
Main Authors: Mouna, Belaid, Chaouch, Hanen, Nabli, Lotfi
Format: Conference Proceeding
Language:English
Subjects:
Eigenvalues and eigenfunctions
Fault detection
Fault isolation
Fuzzy logic
Linear PCA
Matrix decomposition
Monitoring
Principal component analysis
Road Traffic
Roads
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a monitoring and regulation approach by combining main component analysis and fuzzy logic. This approach is applied to a motorway history of four variables: traffic density, flow rate, average speed and occupancy rate, and 900 observations. The ACP is used to detect defects by the statistics of the quadratic predictive error SPE and the Hotteling method. The calculation of contributions makes it possible to isolate the defects: to identify defective variables. In our example the defective variables are the flow rate and the average speed. The purpose of fuzzy logic is to develop an access control strategy to eliminate and / or reduce major problems that are beyond the proper functioning.
ISSN:2575-1328
DOI:10.1109/ICEMIS.2017.8273088