| 梁志义,郑 伟,徐 庆,聂翼飞.基于近场扫描和相似性度量的电路板故障区域检测[J].电子测量与仪器学报,2023,37(3):111-120 |
| 基于近场扫描和相似性度量的电路板故障区域检测 |
| Circuit board fault area detection based on near-field scanning and similarity measure |
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| DOI： |
| 中文关键词: 电路板故障诊断 故障区域检测 近场扫描 时间序列 相似性 |
| 英文关键词:circuit board fault diagnosis fault area detection near field scanning time series similarity |
| 基金项目:国家自然科学基金(61573073)项目资助 |
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| 中文摘要: |
| 故障区域检测是电路板故障诊断的重要内容之一,近年来大量研究工作致力于通过理论仿真探索电路板故障诊断方
法,但仿真条件与实测环境之间的差异降低了此类方法在实际应用中的可行性。 结合实测电路板数据的特点,本文提出了一种
基于近场扫描和时间序列相似性度量的电路板故障区域检测方法,该方法通过近场扫描获取正常状态、故障状态下的电路板的
电磁辐射数据,采用变分模态分解(VMD)方法进行原始数据降噪,此后将两种状态的数据视为两类时间序列,运用改进的时间
序列相似性度量算法计算两类时间序列的距离值,根据距离值判断电路板故障区域。 根据数据集实验结果,使用本文的相似性
度量算法处理时间序列相对其他算法展现出更佳的度量能力,距离值的分类精度也比 3 种对比算法分别高出 6. 3%、8. 4%、
4. 2%。 同时,实测数据实验结果和理论仿真结果的一致性验证了本文方法的可行性和实用性,该方法为电路板故障诊断提供
了新的实现方式。 |
| 英文摘要: |
| Fault area detection is one of the important contents of circuit board fault diagnosis. In recent years, a lot of research work has
been devoted to explore circuit fault diagnosis methods through theoretical simulation, but the difference between simulation conditions
and actual measurement environment reduces the feasibility of such methods in practical applications. Combined with the characteristics
of the measured circuit board data, this paper proposes a circuit board fault area detection method based on near-field scanning and time
series similarity measurement. This method obtains the electromagnetic radiation data of the circuit board under normal and fault
conditions through near-field scanning, and uses the variational mode decomposition (VMD) method to reduce the noise of the original
data. After that, the data in the two states are regarded as two types of time series, the improved time series similarity measurement
algorithm is used to calculate the distance value of the two types of time series, and the fault area of the circuit board is determined
according to the distance value. According to the experimental results of data sets, the similarity measurement algorithm in this paper
shows better measurement ability in processing time series than other algorithms, and the classification accuracy of distance value is also
6. 3%, 8. 4% and 4. 2% higher than the three comparison algorithms. At the same time, the consistency between the experimental
results of the measured data and the theoretical simulation results verifies the reliability and practicability of the method in this paper.
This method provides a new way to realize the circuit board fault diagnosis. |
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