A Non-linear Tent Map-Based ADC Design for Sensitive Condition Monitoring Measurement Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Condition monitoring systems generally require data acquisition (DAQ) systems. These in turn necessitate high-precision analogue-to-digital converters (ADCs) to sample and convert analogue signals from sensors into digital data, for establishing the condition of the monitored equipment. There is generally a need for high-accuracy measurement of minimally changing parameters in condition monitoring applications, indicating small changes in performance of system components. This requires DAQ systems containing high-resolution and precision ADCs, which increases the overall cost of the measurement system. This research employs chaos-based, non-linear Tent Map (TM) circuitry to perform analogue-to-digital conversion. As previous research has demonstrated TM-based ADCs, developed using low-cost components, can detect small changes in an input voltage signal over a relatively large voltage range and be incorporated with FPGAs for signal conditioning. This work investigates the potential of a TM ADC for detecting voltage differences of 100 µV over a range of 0–1.8 V. The analysis involved simulating the ADC and assessing behavior when noise was induced in the system and gains of its TM circuits altered. Results showed the ADC could detect 100 µV changes in a low frequency voltage signal, providing the TM circuits had an ideal gain of 2 and no noise was present in the system. Reducing the gain of the TM circuits and noise affected the accuracy and precision of the ADC. For this reason, this work will aim to develop an algorithm for self-calibration, to run in real-time on an FPGA, enabling a precision ADC to be realized.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages893-902
Number of pages10
Volume166
ISBN (Electronic)9783030577452
ISBN (Print)9783030577445
DOIs
Publication statusPublished - 28 Aug 2020
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer
Volume166
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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