Data Acquisition and Signal Processing for Smart Sensors

Kirianaki, Nikolay V.; Yurish, Sergey Y.; Shpak, Nestor O.; Deynega, Vadim P.

doi:10.1002/0470846100

Cited by 134 publications

(86 citation statements)

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“…The working principle of FDC methods is based on different techniques that can perform time and frequency measurements (IFSA, 2004, Kirianaki et al, 1998Kirianaki et al, 2002). Between these techniques, we can underline the method of dependent count (MDC) due to its advantages and easy implementation.…”

Section: Frequency To Digital Conversion Methods: Working Principlementioning

confidence: 99%

Analog to Digital Conversion Methods for Smart Sensing Systems

Pereira¹,

Postolache²,

Girão³

2010

Advances in Measurement Systems

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The new capabilities of smart sensing systems namely, adaptability, reconfiguration, lowenergy consumption and cost, between others, require a wisely selection of the methods that are use to perform analog to digital conversion. It is very important to optimize the trade-offs between, resolution, accuracy, conversion rate, and energy consumption, between others, and above all to adapt dynamically the conversion parameters for different signals characteristics and applications' purposes. Establishing the best trade-offs are even more important when signals to be digitized have different signal-to-noise ratios (S/N) ratios, different requirements of measuring accuracy and acquisition rate, their characteristics are time-variant and above all if they are sharing the same digitalization device. Very low resolution or conversion rate of data acquisition (DAQs) systems are generally not compliant with measurement systems' requirements since signal information is lost without any possible recovery procedure. Otherwise, if resolution or data acquisition rate are excessively high that means the sampling rate is much higher than its minimum value (Nyquist rate), the excessive amplitude and time resolutions provided by A/D conversion or frequency-to-digital conversion (FDC) does not improve measurements system's performance. Moreover, the excessive resolution or data acquisition rate implies an increase of hardware and software complexity, data processing load and a higher implementation cost, without any benefits. So, for any A/D or FDC conversion method the best trade-off between different conversion characteristics must be established considering applications' purposes. For example, in wireless sensing and actuating networks (WSAN) energy wastes are particularly important because a wrong choice of conversion method can affect deeply measurement system autonomy. Whenever possible, classical A/D conversion methods are being replaced by discrete A/D conversion methods that are supported by low cost microcontroller (C) (Microchip, 2010) connected to a few external resistive or capacitive components. This solution takes full advantage of Cs benefits, namely specific hardware and software capabilities and it provides a conversion rate that can be higher that several hundreds of kHz that is sufficient 24 www.intechopen.com Advances in Measurement Systems 576for a large number of applications. These conversion also enables an easy implementation of trade-offs between resolution, conversion rate, and energy consumption (EC), errors' compensation, namely offset and gain errors, and linearization capabilities without need of any additional circuitry, look-tables or linearization algorithms. However, the main drawbacks of these conversion methods include a large sensitivity to noise and the need of frequent self-calibration routines. Alternative digitalization methods that can be implemented without need of classical A/D converters are based on FDC methods. Referring to the contents of the present chapter, the first sessi...

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Section: Frequency To Digital Conversion Methods: Working Principlementioning

confidence: 99%

Analog to Digital Conversion Methods for Smart Sensing Systems

Pereira¹,

Postolache²,

Girão³

2010

Advances in Measurement Systems

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“…Microsystem technology (MST) offers new ways of combining elements sensitive to processing and communication circuitry, on the same chip [2].…”

Section: Smart Sensorsmentioning

confidence: 99%

About the Smart Weather Station

Bogdan

2016

ACTA Universitatis Cibiniensis

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“…Ñó÷àñí³ ÷àñòîòí³ ñåíñîðè ð³çíîìàí³òíèõ åëåêòðè÷íèõ ³ íååëåêòðè÷íèõ âåëè÷èí ìàþòü øèðîê³ ÷àñòîòí³ ä³àïàçîíè â³ä äåê³ëüêîõ ñîòèõ Ãö äî äåê³ëüêîõ ÌÃö, à òàêîae íèçüêó â³äíîñíó ïîõèáêó 0,01 % àáî êðàùå [2]. ¯õ ÷àñòêà íà ñó-÷àñíîìó ñâ³òîâîìó ðèíêó ñåíñîð³â ïîñò³éíî çá³ëüøóºòüñÿ ³ äîñÿãíóëà âaeå 15 % [3].…”

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Ieee 1451 Standard Adaptation for Frequency Output Sensors

Yurish¹

2014

SEMST

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Àíîòàö³ÿÀÄÀÏÒÀÖ²ß ÑÒÀÍÄÀÐÒÓ IEEE 1451 ÄËß ×ÀÑÒÎÒÍÈÕ ÑÅÍÑÎÐ²Â Ñ. Þ. ÞðèøÂ ñòàòò³ îïèñàí³ ðîçøèðåííÿ ³ àäàïòàö³ÿ ñòàíäàðòó IEEE 1451 äëÿ ñåíñîð³â ÷àñòîòíî-÷àñîâî¿ ãðóïè. Ïîêàçàíî, ùî ïðè âèêîðèñòàíí³ îäíîãî óí³âåðñàëüíîãî êîìïîíåíòà ÓÏ×Ê-1 áóäü-ÿêèé ³ñíóþ÷èé ÷àñòîòíèé ñåíñîð ìîaeå áóòè ïåðåòâîðåíèé â ³íòåëåêòóàëü-íèé ç ìîaeëèâ³ñòþ ñàìî³äåíòèô³êàö³¿ ³ ñàìîàäàïòàö³¿. Òàêèé ï³äõ³ä äî ïðîåêòóâàííÿ IEEE 1451-ñóì³ñíèõ ñåíñîð³â äàº ³ñòîòí³ ïåðåâàãè ÿê âèðîáíèêàì, òàê ³ ñïîaeèâà÷àì. Ïðîãíîçó-ºòüñÿ çá³ëüøåííÿ ðèíêó ³íòåëåêòóàëüíèõ ñåíñîð³â íà 15-20 %.Êëþ÷îâ³ ñëîâà: ÷àñòîòí³ ñåíñîðè, ñòàíäàðò IEEE 1451, ³íòåëåêòóàëüí³ ñåíñîðè, ³íòåëåê-òóàëüí³ ïåðåòâîðþâà÷³, ïåðåòâîðþâà÷ ÷àñòîòà-êîä Abstract IEEE 1451 STANDARD ADAPTATION FOR FREQUENCY OUTPUT SENSORS S. Y. YurishAn effort to simplify the IEEE 1451 standards family extension for adding smart, plug-andplay and self-adaptation capabilities to frequency output sensors is describe in the paper. It was shown that due to the use of one universal component the universal frequency-to-digital converter (UFDC-1), any frequency output sensor can be transformed into a smart transducer compatible to the IEEE 1451 standard. This gives strong benefits to both: customer and manufacturers, increases the level of commercial adoption of the standard in industry and smart sensors market up to 15-20 %.

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Data Acquisition and Signal Processing for Smart Sensors

Cited by 134 publications

References 0 publications

Analog to Digital Conversion Methods for Smart Sensing Systems

Analog to Digital Conversion Methods for Smart Sensing Systems

About the Smart Weather Station

Ieee 1451 Standard Adaptation for Frequency Output Sensors

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