| 数据采集系统非典型采样故障的特征识别与定量表征 |
| Feature Recognition and Quantitative Characterization of A Typical Sampling Faults in Data Acquisition Systems |
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| 中文摘要: |
| 针对数据采集系统断续性非典型采样故障，提出一种以正弦激励为基础，引入无故障拓展曲线为参照对象，使用不同故障点之间的稳定测量曲线段与相对应的拓展曲线段之间的延迟时间差，进行故障恢复时间的确定，最终以每个故障点的故障恢复时间、不同故障点的时间间隔为特征进行故障识别与表征。在实际获取的非典型故障曲线上的识别分析与表征结果，验证了本文所述方法的实用性与可行性。 |
| 英文摘要: |
| Aiming at the intermittent and atypical sampling faults of the data acquisition system, a method is proposed based on sinusoidal excitation, introducing a fault-free expansion curve as the reference object, and using the stable measurement curve segment between different fault segment points and the corresponding expansion curve segment. The delay time difference is determined, and the fault recovery time is determined. Finally, the fault recovery time of each fault segment and the time interval of different fault segments are used for fault identification and characterization. The identification analysis and characterization results on the atypical fault curves actually obtained that verify the practicability and feasibility of the method described in this article. |
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| 中文关键词: 计量学 数据采集 采样 故障 识别 表征 评价 |
| 英文关键词:metrology data acquisition sampling fault identification characterization evaluation |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2021.06.03 |
| 引用本文：梁志国.数据采集系统非典型采样故障的特征识别与定量表征[J].计测技术,2021,(6):. |
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