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基于使用随机定位的三轴传感器的稳态杂散磁通信号的断条检测

Broken Rotor Bar Detection Based on Steady-State Stray Flux Signals Using Triaxial Sensor with Random Positioning.

作者信息

Zubčić Marko, Pavić Ivan, Matić Petar, Polak Adam

机构信息

Faculty of Maritime Studies, University of Split, Ruđera Boškovića 37, 21000 Split, Croatia.

Faculty of Mechanical and Electrical Engineering Polish Naval Academy, ul. Smidowicza 69, 81-127 Gdynia, Poland.

出版信息

Sensors (Basel). 2024 May 12;24(10):3080. doi: 10.3390/s24103080.

DOI:10.3390/s24103080
PMID:38793932
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11125423/
Abstract

This paper investigates the detection of broken rotor bar in squirrel cage induction motors using a novel approach of randomly positioning a triaxial sensor over the motor surface. This study is conducted on two motors under laboratory conditions, where one motor is kept in a healthy state, and the other is subjected to a broken rotor bar (BRB) fault. The induced electromotive force of the triaxial coils, recorded over ten days with 100 measurements per day, is statistically analyzed. Normality tests and graphical interpretation methods are used to evaluate the data distribution. Parametric and non-parametric approaches are used to analyze the data. Both approaches show that the measurement method is valid and consistent over time and statistically distinguishes healthy motors from those with BRB defects when a reference or threshold value is specified. While the comparison between healthy motors shows a discrepancy, the quantitative analysis shows a smaller estimated difference in mean values between healthy motors than comparing healthy and BRB motors.

摘要

本文研究了一种在鼠笼式感应电动机中检测转子断条的新方法，该方法通过在电机表面随机放置一个三轴传感器来实现。本研究在实验室条件下对两台电机进行，其中一台电机保持健康状态，另一台电机则存在转子断条（BRB）故障。对三轴线圈的感应电动势进行了统计分析，该电动势在十天内每天进行100次测量并记录下来。使用正态性检验和图形解释方法来评估数据分布。采用参数化和非参数化方法对数据进行分析。两种方法均表明，该测量方法在时间上是有效的且一致的，并且当指定参考值或阈值时，能够在统计上区分健康电机和存在BRB缺陷的电机。虽然健康电机之间的比较存在差异，但定量分析表明，健康电机之间的平均值估计差异比健康电机与BRB电机之间的差异要小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/cacbf10d3a10/sensors-24-03080-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/ad0cfde418d2/sensors-24-03080-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/a28f8d6eed4e/sensors-24-03080-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/89e4e6a1b741/sensors-24-03080-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/bec8230f662e/sensors-24-03080-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/30ccc4715d1f/sensors-24-03080-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/b5a9c1e1148a/sensors-24-03080-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/cacbf10d3a10/sensors-24-03080-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/c3a308ce67ca/sensors-24-03080-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/a1345de51fd5/sensors-24-03080-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/d6a1b7d09490/sensors-24-03080-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/8f4ac8315712/sensors-24-03080-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/484991aeb495/sensors-24-03080-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/ad0cfde418d2/sensors-24-03080-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/a28f8d6eed4e/sensors-24-03080-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/89e4e6a1b741/sensors-24-03080-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/bec8230f662e/sensors-24-03080-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/30ccc4715d1f/sensors-24-03080-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/b5a9c1e1148a/sensors-24-03080-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11125423/cacbf10d3a10/sensors-24-03080-g014.jpg

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