振动
声发射
传感器融合
传感器
状态监测
电子工程
信号(编程语言)
局部放电
压电传感器
信号处理
声学
断层(地质)
故障检测与隔离
温度测量
工程类
电气工程
计算机科学
压电
电压
数字信号处理
人工智能
物理
地质学
地震学
执行机构
程序设计语言
量子力学
作者
Zhaoyu Zhang,Haotian Wang,Huan Chen,Tianyi Shi,Yanfeng Song,Xutao Han,Junhao Li
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:72: 1-9
被引量:1
标识
DOI:10.1109/tim.2023.3272046
摘要
Insulation and mechanical defects are the main reasons of the power equipment fault, the former could generate partial discharge (PD) which can be detected by acoustic emission (AE) sensor, the other one can be evaluated by vibration and temperature variation. However, the two defects are detected and analyzed independently in traditional detection, the importance of multi-signal interaction and fusion analysis is ignored. To realize multi-signal synchronous detection and associated analysis, and improve the accuracy and efficiency of state evaluation of power equipment, a novel integrated electronics piezoelectric (IEPE) AE-vibration-temperature combined intelligent sensor is proposed and developed in this paper. Reasonable structure design and components customization enable the sensor to acquire signals simultaneously. Meanwhile, integrated transducer electronic data sheet (TEDS) and data processing circuit intelligentize the combined sensor. The primary detection parameters of the sensor are acquired in the calibration experiments. In PD, vibration and temperature joint experiment, it is verified that the combined sensor is more sensitive and multifunctional. Besides, a new fusion analysis diagram, vibration-phase resolved partial discharge (V-PRPD), is proposed to characterise the correlation between PD and vibration.
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