Failure analysis on a water pump based on a low-cost MEMS accelerometer and machine learning classifiers

Failure analysis on a water pump based on a low-cost MEMS accelerometer and machine learning classifiers

This work presents a failure diagnosis tool for a water pump using a low-cost MEMS accelerometer. It was inserted three types of failures: rotor blade (new and damaged), pump soleplate tightness (stiff or loose), and cavitation, in this case on three conditions: none, incipient and severe, totaling...

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Bibliographic Details
Main Authors: Luciane Agnoletti dos Santos Pedotti, Ricardo Mazza Zago, Jefferson Cutrim Rocha, José Gilberto Dalfré Filho, Mateus Giesbrecht, Fabiano Fruett
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2020-12-01
Series:Semina: Ciências Exatas e Tecnológicas
Subjects:
mems accelerometer. diagnosis by vibration. diagnostic classifiers. logistic regression. linear svm. ann-mlp
Online Access:http://www.uel.br/revistas/uel/index.php/semexatas/article/view/41564

Internet

http://www.uel.br/revistas/uel/index.php/semexatas/article/view/41564

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