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Use of the K-Nearest Neighbour Classifier in Wear Condition Classification of a Positive Displacement Pump

Department of Process Control, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Krakow, Poland
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Author to whom correspondence should be addressed.
Academic Editor: Reinaldo Martinez Palhares
Sensors 2021, 21(18), 6247; https://doi.org/10.3390/s21186247
Received: 3 August 2021 / Revised: 12 September 2021 / Accepted: 13 September 2021 / Published: 17 September 2021
(This article belongs to the Section Fault Diagnosis & Sensors)
This paper presents a learning system with a K-nearest neighbour classifier to classify the wear condition of a multi-piston positive displacement pump. The first part reviews current built diagnostic methods and describes typical failures of multi-piston positive displacement pumps and their causes. Next is a description of a diagnostic experiment conducted to acquire a matrix of vibration signals from selected locations in the pump body. The measured signals were subjected to time-frequency analysis. The signal features calculated in the time and frequency domain were grouped in a table according to the wear condition of the pump. The next step was to create classification models of a pump wear condition and assess their accuracy. The selected model, which best met the set criteria for accuracy assessment, was verified with new measurement data. The article ends with a summary. View Full-Text
Keywords: learning system; classifier; K-nearest neighbours; diagnostics; signal analysis; multi-piston pump; vibrations learning system; classifier; K-nearest neighbours; diagnostics; signal analysis; multi-piston pump; vibrations
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MDPI and ACS Style

Konieczny, J.; Stojek, J. Use of the K-Nearest Neighbour Classifier in Wear Condition Classification of a Positive Displacement Pump. Sensors 2021, 21, 6247. https://doi.org/10.3390/s21186247

AMA Style

Konieczny J, Stojek J. Use of the K-Nearest Neighbour Classifier in Wear Condition Classification of a Positive Displacement Pump. Sensors. 2021; 21(18):6247. https://doi.org/10.3390/s21186247

Chicago/Turabian Style

Konieczny, Jarosław, and Jerzy Stojek. 2021. "Use of the K-Nearest Neighbour Classifier in Wear Condition Classification of a Positive Displacement Pump" Sensors 21, no. 18: 6247. https://doi.org/10.3390/s21186247

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