USAGE OF TWO-CENTER BASIS FUNCTION NEURAL CLASSIFIERS IN COMPACT SMART RESISTIVE SENSORS |
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| M. Kowalewski, Z. Czaja |
- Abstract:
- A new solution of the smart resistance sensor with the Two-Center Basis Function (TCBF) neural classifier, for which the resistance sensor is a component of an anti-aliasing filter of an ADC is proposed. The temperature measurement procedure is based on excitation of the filter by square impulses, sampling time response of the filter and processing measured voltage values by the TCBF classifier. All steps of the measurement procedure can be realized by the microcontroller and its internal devices.
- Keywords:
- microcontrollers, smart resistive sensors, neural networks, fault identification
- Download:
- IMEKO-WC-2012-TC4-P7.pdf
- DOI:
- -
- Event details
- Event name:
- XX IMEKO World Congress
- Title:
Metrology for Green Growth
- Place:
- Busan, REPUBLIC of KOREA
- Time:
- 09 September 2012 - 12 September 2012