On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph

On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph

This work employs support vector machine (SVM), K-Nearest Neighbors (KNN) and logistic regression models to predict the health state of the pump and to establish fault diagnosis. From the features like vibration, temperature of the motor, pressure, and flow rate, the models categorize the state of t...

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Bibliographic Details
Main Authors: Heling Jiang, Yongping Xia, Changjie Yu, Zhao Qu, Huaiyong Li
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Alexandria Engineering Journal
Subjects:
Artificial intelligence methods
Reliability sector
Feature engineering
Pump fault
Computer knowledge graph
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016825001206
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