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Reconfigurable SoC-Based Smart Sensor for Wavelet and Wavelet Packet Analysis

机译:基于可重构SoC的小波和小波包分析智能传感器

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摘要

Modern monitoring systems require high-performance instrumentation, low-cost primary sensors, online signal processing, portability, and versatility. Smart sensor utilization is an approach to comply with these features. From an industrial point of view, voltage, electric current, and vibrations are signals commonly analyzed during system monitoring, and wavelet and wavelet packet transforms are popular techniques for extracting time-frequency information from these signals. Here, a system-on-chip-based smart sensor with reconfigurable architecture is proposed for time-frequency analysis applying either wavelet or wavelet packet transform. The proposed smart sensor uses a proprietary hardware processing unit and a custom embedded microprocessor. It can connect to different primary sensors without additional instrumentation and shows obtained results in a 2-D or 3-D view on a video graphics array screen or liquid crystal display. Obtained results from three different study cases demonstrate that the proposed smart sensor is able to show online and in real-time the frequency evolution effects in time-varying signals.
机译:现代监控系统需要高性能的仪器,低成本的主传感器,在线信号处理,可移植性和多功能性。智能传感器利用率是符合这些功能的一种方法。从工业角度来看,电压,电流和振动是系统监视期间通常分析的信号,小波和小波包变换是从这些信号中提取时频信息的流行技术。在此,提出了一种具有可重构架构的基于芯片的智能传感器,用于应用小波或小波包变换的时频分析。提出的智能传感器使用专有的硬件处理单元和定制的嵌入式微处理器。它可以连接到不同的主传感器而无需额外的仪器,并且可以在视频图形阵列屏幕或液晶显示器上以2D或3D视图显示获得的结果。从三个不同的研究案例中获得的结果表明,所提出的智能传感器能够在线和实时显示时变信号中的频率演化效应。

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