ArticleSensors (Basel, Switzerland)2021
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Novel Higher Order Technologies, Based on Spectral Moduli, for Condition Monitoring of Rotating Machinery.Sensors (Basel, Switzerland) · 2025Article
- A comparative analysis of linear regression, neural networks and random forest regression for predicting air ozone employing soft sensor models.Scientific reports · 2023Article
- Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery.Sensors (Basel, Switzerland) · 2023Article
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Authors and funding
4 authors.
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Abstract
This paper presents a methodology for creating a soft sensor for predicting the bearing wear of electrical machines. The technique is based on a combination of Park vector methods and a classifier based on an artificial neural network (ANN-classifier). Experiments are carried out in laboratory conditions on an asynchronous motor of AIR132M4 brand. For the experiment, the inner rings of the bearing are artificially degraded. The filtered and processed data obtained from the installation are passed through the ANN-classifier. A method of providing the data into the classifier is shown. The result is a convergence of 99% and an accuracy of 98% on the test data.
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