1990
DOI: 10.1016/0263-2241(90)90077-j
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Theoretical principles for dynamic errors measurement

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Cited by 15 publications
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“…This approach is useful for the analysis of dynamic errors when signals of the known form are measured. [7] presents the expressions of the dynamic errors of the measuring system used when periodic square impulse and trapezoidal wave signals are measured. The transition function ℎ( ) is used here as a characteristic of the dynamic properties of the measuring system.…”
Section: Analysis Of Dynamic Measuring Errorsmentioning
confidence: 99%
“…This approach is useful for the analysis of dynamic errors when signals of the known form are measured. [7] presents the expressions of the dynamic errors of the measuring system used when periodic square impulse and trapezoidal wave signals are measured. The transition function ℎ( ) is used here as a characteristic of the dynamic properties of the measuring system.…”
Section: Analysis Of Dynamic Measuring Errorsmentioning
confidence: 99%
“…For those quantities, no explicit comparative criterion [9] has been developed so far, as is the case with the accuracy class of the instruments intended for static measurements [10,11]. When measuring acceleration, as is the case with other dynamic quantities [12,13,14,15], it is convenient to use the two best-known quality factors: The integral-square error [9,16,17] and the absolute error [12]. The first factor, for the assumed time of testing, allows one to determine the value of signal energy at the output of the sensor, while the second factor measures the maximum value of magnitude of this signal.…”
Section: Introductionmentioning
confidence: 99%
“…The first factor, for the assumed time of testing, allows one to determine the value of signal energy at the output of the sensor, while the second factor measures the maximum value of magnitude of this signal. However, both of these factors allow the determination of the numerical values of dynamic error for any measurement signal [9,12,13,14,15,17,18,19]. After the time corresponding to the time of the steady state of the sensor impulse response, the time characteristic of the integral-square error is linear [16,19], while the absolute error takes a constant value in time [12,18].…”
Section: Introductionmentioning
confidence: 99%
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