Fitting transducer characteristics to measured data

Pereira, José Miguel; Girão, Pedro M.; Postolache, Octavian

doi:10.1109/5289.975463

Cited by 80 publications

(33 citation statements)

References 13 publications

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“…If an excessive number of measurement points are used, the computational load for curve fitting purposes is increased and data interpolation errors can be substantially increased due to over fitting [26]. …”

Section: Resultsmentioning

confidence: 99%

“…Additionally, if the Gaussian curve fitting is based on a SSW voltage sweep, around the redox potential of each metal, the curve fitting errors are even lower. However, it is important to refer that if a very narrow voltage sweep interval around the metals' redox potentials is used for curve fitting purposes, the interpolation errors can increase substantially, particularly if the measured data contains outlier measurement values [26].…”

Section: Simulation Resultsmentioning

confidence: 99%

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Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

Pereira

Postolache

Girão

2012

Metrology and Measurement Systems

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This paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.

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Section: Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

Pereira

Postolache

Girão

2012

Metrology and Measurement Systems

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“…Curve fitting algorithms [33] were developed to perform signal analysis, signal to noise ratio evaluation and measurement of mechanical system performance. Fig.…”

Section: Software and Data Processingmentioning

confidence: 99%

A Smart and Distributed Measurement System to Acquire and Analyze Mechanical Motion Parameters

Pereira¹,

Viegas²,

Postolache³

et al. 2013

Metrology and Measurement Systems

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This paper presents a low-cost and smart measurement system to acquire and analyze mechanical motion parameters. The measurement system integrates several measuring nodes that include one or more triaxial accelerometers, a temperature sensor, a data acquisition unit and a wireless communication unit. Particular attention was dedicated to measurement system accuracy and compensation of measurement errors caused by power supply voltage variations, by temperature variations and by accelerometers' misalignments. Mathematical relationships for error compensation were derived and software routines for measurement system configuration, data acquisition, data processing, and self-testing purposes were developed. The paper includes several simulation and experimental results obtained from an assembled prototype based on a crank-piston mechanism.

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“…The coefficients can be obtained for minimizing the sum of the squared errors. A necessary condition for minimization of the error is that (4) which leads to the polynomial coefficient vector given as (5) The matrix is known as the pseudo-inverse of [43]- [45]. If the degree of the polynomial is large, the resulting matrix is typically ill-conditioned [46].…”

Section: A Bivariate Polynomial Modeling and Interpolationmentioning

confidence: 99%

Estimation of Place of Articulation During Stop Closures of Vowel–Consonant–Vowel Utterances

Pandey

Shah²

2009

IEEE Trans. Audio Speech Lang. Process.

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Fitting transducer characteristics to measured data

Cited by 80 publications

References 13 publications

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

A Smart and Distributed Measurement System to Acquire and Analyze Mechanical Motion Parameters

Estimation of Place of Articulation During Stop Closures of Vowel–Consonant–Vowel Utterances

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