Minimizing false-rejection rates in gas leak testing using an ensemble multiclass classifier for unbalanced data

Leak testing is a fundamental stage in the manufacturing process of leak-tight products providing a non-destructive quality measurement. However, leak tests are often influenced by environmental and external factors that increase the risk of test inaccuracy. These phenomena are difficult to properly...

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Bibliographic Details
Main Author: Costa, Diogo (author)
Other Authors: Rocha, Eugénio M. (author), Ramalho, Pedro (author)
Format: bookPart
Language:eng
Published: 2024
Subjects:
Leak Testing
Machine Learning
Multiclass Classification
Ensemble classifier
Unbalanced data
Online Access:http://hdl.handle.net/10773/35457
Country:Portugal
Oai:oai:ria.ua.pt:10773/35457

Internet

http://hdl.handle.net/10773/35457

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