基于多频超声波技术的变压器油参数检测方法
为准确检测变压器油状态,针对变压器油参数,给出基于多频超声波检测技术的变压器油检测方法。开发相应的硬件检测装置和上位机分析软件。硬件部分可利用多频超声波技术,在1 s内,将大量不同频率的超声波新信号聚集在一个扫描测量频率,进行数以百计的扫描,从而在很短的时间内完成变压器状态诊断。给出了系统的设计原理和主功能单元设计,主功能单元包括发射部分和接收部分。其次,阐述了多元统法的计算原理。基于此,上位机软件可对携带有变压器油参数信息的超声波参数进行统计和分析,以提取其特征量,进一步建立起变压器油运行状态与超声波特征量的关联,进而判断变压器的运行状态。实验检测表明该系统可在线实时检测微水含量、击穿电压（...
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| Published in | 电力系统保护与控制 Vol. 44; no. 22; pp. 174 - 181 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
广州供电局有限公司电力试验研究院,广东广州,510420%苏州华天国科电力科技有限公司,江苏苏州,215000
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-3415 |
| DOI | 10.7667/PSPC152031 |
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| Summary: | 为准确检测变压器油状态,针对变压器油参数,给出基于多频超声波检测技术的变压器油检测方法。开发相应的硬件检测装置和上位机分析软件。硬件部分可利用多频超声波技术,在1 s内,将大量不同频率的超声波新信号聚集在一个扫描测量频率,进行数以百计的扫描,从而在很短的时间内完成变压器状态诊断。给出了系统的设计原理和主功能单元设计,主功能单元包括发射部分和接收部分。其次,阐述了多元统法的计算原理。基于此,上位机软件可对携带有变压器油参数信息的超声波参数进行统计和分析,以提取其特征量,进一步建立起变压器油运行状态与超声波特征量的关联,进而判断变压器的运行状态。实验检测表明该系统可在线实时检测微水含量、击穿电压（BDV）、活性水等变压器油参数,解决了传统检测装置检测步骤繁琐、不能在线检测等问题,提高检测灵敏性,降低检测成本。 |
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| Bibliography: | The multi-frequency ultrasound technique for transformer oil parameter detection is given. The corresponding hardware detector and upper system software are designed and developed. Based on the formulated multi-frequency ultrasound detection technique, a large number of ultrasound signals with different frequencies could be gathered in a scanned monitoring frequency in a second by the hardware part, then the state diagnosis of transformer is finished via hundreds of scannings in a short time. The design principle of system and main functional units are given, and the latter mainly includes the transmitting part and receiving part. Next, the multivariate statistical analysis algorithm is elaborated, and based on which, the ultrasonic parameters that contain the operating information of transformers are made statistics and analyzed by the upper software, to get the ultrasound characteristic values, between which and ten situations of transformer, further, relationship is built, so as to judge the operating situ |
| ISSN: | 1674-3415 |
| DOI: | 10.7667/PSPC152031 |