利用外磁场参数诊断汽车交流发电机故障

Andrey Puzakov
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引用次数: 4

摘要

研究问题的基本原理是由于现有的汽车交流发电机诊断方法缺乏信息性和显著的复杂性。研究这一问题的方法是评估外磁场参数,这为检测汽车交流发电机的电气故障提供了机会。建立了霍尔传感器测量的外磁场大小对发电机的技术条件敏感。通过分析外磁场轴向分量的分布,选择发电机表面的最优点,保证了诊断参数的唯一性。提出了一种基于外加磁场大小的电气故障识别算法。本文的信息可用于进一步开发和实施所提出的汽车交流发电机诊断方法。
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Using parameters of the external magnetic field for diagnosing faults in automotive alternator
The rationale of the problem being investigated is driven by the lack of informativeness and significant complexity of the existing methods of diagnosis of automotive alternators. The method leading to the investigation of this problem is evaluation of external magnetic field parameters, which gives an opportunity to detect electrical faults of an automotive alternator. It was established that the magnitude of the external magnetic field measured by the Hall sensor is sensitive to the technical condition of the generator. By analyzing the distribution of the axial component of the external magnetic field, the optimal point on the surface of the generator is selected, which ensures the uniqueness of the diagnostic parameter. An algorithm for recognizing electrical faults based on the magnitude of an external magnetic field is developed. Information in this paper may be used for further development and implementation of the proposed method of diagnosis of automotive alternators.
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