A Calibration Technique for Multibit Stage Pipelined A/D Converters via Least-Squares Method

Kim, Jintae; Park, Chester Sungchung

doi:10.1109/tim.2013.2282184

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…The instantaneous rise between two consecutive V storage readings present scattered values which are not adequate for direct mains current estimation. Therefore, a least squares method [41]- [43] is applied. For a given set of instantaneous V storage slopes {(t 0 , Vst InstSlope (0)), .…”

Section: Estimating Mains Currentmentioning

confidence: 99%

Harvested Power Wireless Sensor Network Solution for Disaggregated Current Estimation in Large Buildings

Amaro

Cortesão

Landeck

et al. 2015

IEEE Trans. Instrum. Meas.

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In modern economies, large service buildings are responsible for an important part of the global electrical energy consumption. The implementation of energy saving strategies can benefit from disaggregated consumption monitoring. To tackle this problem, a number of technological solutions exist, being however, expensive in equipment, installation and maintenance. Because of its decentralized operation principle, wireless sensor networks (WSNs) are an important tool to implement disaggregated electrical energy monitoring. The development of a selfpowered, battery-free current sensor node for large WSNs may contribute to the implementation of monitoring solutions for large buildings. In this paper, a solution to monitor disaggregated consumption is presented, based on a contact-less power source for Zigbee nodes using a split-core toroidal coil current transformer (SCCT). The proposed device is able to power a battery-free wireless node estimating also the current drawn by the electrical load with a single SCCT. The SCCT is successfully applied to power a battery-free wireless device running a complex communication software stack. The proposed system is described through simulation as well as the experimental results.

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Section: Estimating Mains Currentmentioning

confidence: 99%