An introduction to signal processing in chemical measurement

O’Haver, T. C.

doi:10.1021/ed068pa147

Cited by 91 publications

(126 citation statements)

References 9 publications

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“…Next, the algorithm builds a vector with the local maxima found in A(t), x peak , and a vector containing their corresponding time of occurrence t peak . Considering EMI measurements that are intrinsically noisy, the algorithm uses functions for robust peak detection in the presence of random noise that include prominence criteria between adjacent peaks [21].…”

Section: A Envelope Detectionmentioning

confidence: 99%

Decomposition of Electromagnetic Interferences in the Time-Domain

Azpúrua

Pous

Silva

2016

IEEE Trans. Electromagn. Compat.

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Abstract-Electromagnetic interferences are potentially very complex signals formed by the superposition of transient (broadband) and continuous wave (narrowband) components with significant randomness in both amplitude and phase. Decomposing the electromagnetic interference measured in the time domain into a set of intrinsic mode functions is useful to gain insights of the process that generates the interference. Evaluating the intrinsic mode functions contributes to improving the measurement capabilities of the time-domain electromagnetic emissions measurement systems based on the general-purpose oscilloscopes. In this paper, a combination of techniques that includes empirical mode decomposition and transient mode decomposition is used to separate the main components of complex electromagnetic disturbances. This approach requires no prior information on the spectral content of the measured EMI and it does not perform a domain transformation. Examples of electromagnetic interference decomposition verify the effectiveness and the accuracy of the proposed approach. Finally, a discussion on the advantages, practical applications, limitations, and drawbacks of the described techniques is addressed.Index Terms-Digital signal processing, electromagnetic compatibility, electromagnetic interference, electromagnetic measurements, time-domain analysis.

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Section: A Envelope Detectionmentioning

confidence: 99%

Decomposition of Electromagnetic Interferences in the Time-Domain

Azpúrua

Pous

Silva

2016

IEEE Trans. Electromagn. Compat.

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“…In order to smooth the current, voltage and speed measurements, a Savitzky-Golay filter was used [16] [17]. This smoothing algorithm computes a moving average with coefficients determined by unweighted least-squares regression and a polynomial model of a specified degree.…”

Section: Smoothingmentioning

confidence: 99%

“…Furthermore, [17] recommends to apply smoothing at least twice if a second derivative is calculated. This is done to compare derivatives of the simulated current isd (Figs.…”

Section: Smoothingmentioning

confidence: 99%

Parameter Estimation of Wound-Rotor Induction Motors From Transient Measurements

Kojooyan-Jafari¹,

Monjo²,

Córcoles³

et al. 2014

IEEE Trans. Energy Convers.

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Abstract-A new method for determination of the steadystate equivalent circuit parameters of wound rotor induction motors using experimental starting transient measurements is presented. The algorithm data are the stator currents and voltages and mechanical speed. The algorithm uses the least-square method and motor dynamic equations in the synchronous reference frame. Moreover, an approximation of the rotor flux that improves the accuracy of the estimation method, as well as a detailed study of errors, is included. The estimation method is applied to starting transient measurement data of a 2kW wound rotor induction motor, and parameter accuracy is verified by comparing steady-state torque-and current-slip curves calculated with the estimated and laboratory measured parameters.Index Terms-Equivalent circuits, wound rotor induction motor, starting transients.ARAMETER determination of induction motors is an important topic because these machines are one of the most common loads in the grid. Estimation accuracy is crucial because of the importance of parameters in power system dynamic behavior during faults and other perturbations. Another important area is high performance ac drives, where parameter estimation is key in controller tuning. Several approaches to induction motor parameter estimation have been presented. IEEE The main issue in this paper is to develop an estimation method. One major drawback of many parameter estimation procedures is the need for large currents in the locked-rotor

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“…Signal processing at various stages (in real time or after data acquisition) has become an integral part of most modern analytical measurement systems and plays a critical role in ensuring the quality of the results [4]. It is important to appreciate the capabilities and the limitations of the applied signal processing techniques [5].…”

Section: Signals and Their Role In Measurementsmentioning

confidence: 99%

Signal Processing in Electrochemistry

Jakubowska

2011

Electroanalysis

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This review presents and promotes preprocessing methods applied in electrochemistry prior to data exploration, calibration and classification. Smoothing by digital filtering, baseline correction, separation of overlapping signals, and also transformations to extract the relevant features of the curve are the algorithms of which the application, operation, and optimization of parameters are described. The presentation completes the description of the procedure enabling orthogonal correction of the signals. The theoretical consideration is demonstrated by examples of the practical application of the described algorithms in electrochemistry in recent years. Software packages useful in signal processing in electrochemistry are also listed. The paper underlines the point that particular methods show the different effects of signal processing and in the case of the improper selection of the algorithm or its parameters, undesirable distortions of the curves may be observed. Therefore a knowledge of signal processing methodology is necessary before its application.

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An introduction to signal processing in chemical measurement

Abstract: Interfacing of analytical instrumentation to small computers for the purpose of on-line data acquisition has now become almost standard practice in the modern chemistry laboratory.

Cited by 91 publications

References 9 publications

Decomposition of Electromagnetic Interferences in the Time-Domain

Decomposition of Electromagnetic Interferences in the Time-Domain

Parameter Estimation of Wound-Rotor Induction Motors From Transient Measurements

Signal Processing in Electrochemistry

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