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Hierarchical Extreme Learning Machine-Polynomial Based Low Valued Capacitance Measurement Using Frequency Synthesizer–Vector Voltmeter.
- Source :
-
IEEE Transactions on Instrumentation & Measurement . Sep2014, Vol. 63 Issue 9, p2180-2187. 8p. - Publication Year :
- 2014
-
Abstract
- This present paper describes the development of a capacitance measurement system in the picofarad region. The system uses an universal serial bus port-based arrangement in conjunction with an indigenously developed Programmable Intelligent Computer microcontroller-based frequency synthesizer-vector voltmeter that can be used to measure the voltage in vector form and the capacitance can be determined using circuit solution technique. An intelligent two-layered, hierarchical reinforcement-based instrumentation scheme is proposed that can be integrated along with the original measurements to significantly improve the system performance. In layer 1, an extreme learning machine-based supervised phase reinforcement scheme is employed to improve the accuracy of the voltage measurement. Subsequently, in layer 2, local polynomial-based reinforcements are employed to improve both the resistive and reactive part measurements in the unknown capacitance. Three variants of ELM-based reinforcements are implemented for capacitance measurements in the range 100–10 000 pF and the utility of the hybrid ELM-polynomial-based reinforcements for such measurements is aptly demonstrated. [ABSTRACT FROM PUBLISHER]
- Subjects :
- *USB technology
*COMPUTER research
*MICROCONTROLLERS
*VOLTMETERS
*ELECTRIC potential
Subjects
Details
- Language :
- English
- ISSN :
- 00189456
- Volume :
- 63
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Instrumentation & Measurement
- Publication Type :
- Academic Journal
- Accession number :
- 97518705
- Full Text :
- https://doi.org/10.1109/TIM.2014.2307991