Data acquisition systems with intelligent trigger capability

Angrisani, L.; Daponte, P.; Sangiovanni, S.

doi:10.1016/j.measurement.2005.04.008

Cited by 7 publications

(2 citation statements)

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“…In other references [17] [18] to overcome these limitations, the suggested solutions derive the sinusoidal reference waveform by low-pass filtering the original waveform. Although both were successful triggering strategies, they made the assumption that the power line wave form is a sine wave, which obviously is not the case when severe harmonic distortion is present.…”

Section: Algorithms For Pq Event Detectionmentioning

confidence: 99%

DSP algorithm for the real time detection of power quality surge transients

Moreno-Munoz

Pallares

Flores

et al. 2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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Power-quality events are of increasing concern for the economy because today's equipment, particularly computers and automated manufacturing devices, is highly sensitive to such imperfections. Metering technologies and communications systems have advanced to enable the development of DSP-based sensors. Power system surges, based on waveform shapes, can be classified into "oscillatory transient" and "impulsive transient" This paper investigates the challenges and possibilities in the development of a DSP power-quality event detection algorithm. It provides the real-time detection of transients without requiring a large amount of memory. It is presented its advantages as a simple and robust algorithm, over others well known proposal. Finally, the analysis of its performance in the time domain is addressed on a low-cost DSP board.

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Section: Algorithms For Pq Event Detectionmentioning

confidence: 99%

DSP algorithm for the real time detection of power quality surge transients

Moreno-Munoz

Pallares

Flores

et al. 2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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“…So the data collecting was inefficient due to the manually connecting data port. Moreover, the signal acquisition depended on self-triggering [5], which might result in measurement failure. Therefore, wireless communication was employed in distributed measurement system to realize remote monitoring and centralized control.…”

Section: Introductionmentioning

confidence: 99%

Distributed Wireless Measurement System for Transient Pressure with Data Extraction Technology

Wang

Zhang

2015

International Journal of Distributed Sensor Networks

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Transient pressure measurement system applied in an explosion field is usually characterized by non-real-time measurement due to the conflict between quick signal acquisition and limited communication bandwidth. The correct signal acquisition is launched by triggering, but the false triggering often leads to measurement failure due to the fact that the operating status of system cannot be real-time detected in an explosion condition. A distributed wireless measurement system with data extraction technology is proposed in this paper to improve the reliability of transient pressure measurement. A long-time signal acquisition is achieved by mass data storage to eliminate the trigger mode. On the other hand, an effective data segment is extracted by signal identification, which improves the efficiency of data transmission and data processing. A measurement system based on data extraction technology was designed and implemented in an explosion field, and the measurement node was characterized by sampling rate of 1 Msps, data storage of 128 Gb, effective data segment of 512 kW, and Wi-Fi wireless network coverage.

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