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Improving the Process of Vehicle Units Diagnosis by Applying Harmonic Analysis to the Processing of Discrete Signals

机译:通过将谐波分析应用于离散信号的处理来改善车辆单元诊断的过程

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The article discusses the features of designing a diagnostic system in which harmonic analysis is used to improve the quality of diagnostic information processing. The cyclic analog signal coming from the sensor and containing the diagnostic information is converted into a discrete signal. Accumulation of diagnostic information processed by equipment is carried out in the form of discrete signals. The processing and analysis of the obtained diagnostic information is carried out by applying harmonic analysis. Periodic processes of operation of vehicle units are associated with the occurrence of noise and vibration having a different frequency but related to the same node. A feature of the presented system is that it uses a contactless method of obtaining diagnostic information about the operation of vehicle units. The system calculates the speed of the node, measures the noise level and calculates the level of vibration that occurs during its operation. The article shows the results of experimental studies on the determination of vibration in vehicle nodes. Found relationship between the occurrence of noise and increasing the level of vibration of the node. The algorithm for the refinement of the harmonic analysis result is formalized, which makes it possible to eliminate the crude unpredictable error caused by the sampling of the analog signal. The application of pre-filtering algorithms analog signal from the sensor used to reduce the overall level of noise spectrum is substantiated. The article describes the structure of the diagnostic system allowing to determine the vibration level of rotating nodes. The use of harmonic analysis in the diagnostic system, in the conditions of a limited amount of diagnostic information, reduces the error in determining the amplitude of the vibration signal by 15-50%.
机译:本文讨论了设计一个诊断系统的特征,其中使用谐波分析来提高诊断信息处理的质量。来自传感器并包含诊断信息的循环模拟信号被转换为离散信号。设备处理的诊断信息以离散信号的形式进行。通过应用谐波分析来执行所获得的诊断信息的处理和分析。车辆单元的定期操作过程与具有不同频率但与同一节点相关的噪声和振动的发生相关的过程。所提出的系统的一个特征是它使用非接触式方法获得有关车辆单元的操作的诊断信息。系统计算节点的速度,测量噪声水平,并计算其操作期间发生的振动水平。本文显示了关于车辆节点中振动的实验研究结果。发现噪声发生与增加节点振动水平之间的关系。谐波分析结果改进的算法是正式的,这使得可以消除由模拟信号的采样引起的粗略不可预测的误差。超滤算法模拟信号从用于降低噪声谱的整体水平的传感器的应用是实质的。该物品描述了诊断系统的结构,允许确定旋转节点的振动水平。在诊断系统中使用谐波分析,在有限量的诊断信息的条件下,减少了将振动信号的幅度确定15-50%的误差。

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