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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Demagnetization Fault Detection for Double-Sided Permanent Magnet Linear Motor Based on Three-Line Magnetic Signal Signature Analysis
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Demagnetization Fault Detection for Double-Sided Permanent Magnet Linear Motor Based on Three-Line Magnetic Signal Signature Analysis

机译：基于三线磁信号特征分析的双面永磁线性电动机的退磁故障检测

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摘要

This article investigates a novel demagnetization fault detection method for double-sided permanent magnet synchronous linear motors (DS-PMSLM) that are applied in laser cutting machines. First, a finite-element analysis model of DS-PMSLM is built to preset different demagnetization faults of the permanent magnets (PMs). Second, magnetic intensity distribution signals in air gap region are selected as fault signal for the first time to detect demagnetization faults in DS-PMSLM. Three-line method coupled with self-designed connection structure is originally proposed to obtain and analyze three-line magnetic signals. Simulation comparison with back electromotive force signal validates that three-line magnetic signals are more effective to solve the problem for this double-sided structure PMSLM. Then, continuous wavelet transform (CWT) is innovatively introduced to conduct peak feature extraction for magnetic signals. Comparison experiments between CWT, direct locating method, and polynomial fitting method certify the superiority of CWT. By peak feature analysis, the positions, sides, and severity degrees of PMs' demagnetization faults can be detected accurately. Finally, a prototype is manufactured, and a Gauss meter experimental platform is established to verify the validity and advantages of this method.
机译：本文调查了应用于激光切割机中的双面永磁同步线性电动机（DS-PMSLM）的新型退磁故障检测方法。首先，构建了DS-PMSLM的有限元分析模型，以预设永磁体（PMS）的不同退磁故障。第二，第一次选择空气间隙区域中的磁性强度分布信号作为故障信号，以检测DS-PMSLM中的退磁故障。最初提出与自行设计连接结构耦合的三线法，以获得和分析三线磁信号。与后电动势信号的仿真比较验证了三线磁信号更有效地解决该双面结构PMSLM的问题。然后，创新地引入连续小波变换（CWT）以对磁信号进行峰值特征提取。 CWT，直接定位方法和多项式配件方法之间的比较实验证明了CWT的优越性。通过峰值特征分析，可以准确地检测PMS的去磁故障的位置，侧面和严重程度。最后，建立了原型，建立了高斯仪表实验平台以验证该方法的有效性和优点。

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