Adaptive Nonlinearity Compensation System for Integrated Temperature and Moisture Sensor.

Guohong Chen, Shengjun Zhou, Jie Ni, Hao Huang

Abstract read

In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Research on Temperature Compensation of Multi-Channel Pressure Scanner Based on an Improved Cuckoo Search Optimizing a BP Neural Network.Micromachines · 2022
Article

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Guohong ChenSchool of Information & Electrical Engineering, Zhejiang University City College, 51 Huzhou Street, Hangzhou 310015, China.

Shengjun ZhouZhejiang Academy of Agricultural Sciences, 198 Shiqiao Road, Hangzhou 310021, China.

Jie NiSchool of Information & Electrical Engineering, Zhejiang University City College, 51 Huzhou Street, Hangzhou 310015, China.ORCID 0000-0003-0456-3962

Hao HuangHubei Key Lab of Ferro- & Piezoelectric Materials and Devices, Faculty of Physics and Electronic Science, Hubei University, 368 Youyi Street, Wuhan 430062, China.

Funding

Basic public welfare research project of Zhejiang Province in 2018 LGN18C150011Hangzhou agricultural and social development research project in 2019 20191203B35the Natural Science Foundation of Hubei Province of China 2018CFC797

6 · The paper itself

Abstract

Measuring temperature and moisture are important in many scenarios. It has been verified that temperature greatly affects the accuracy of moisture sensing. Moisture sensing performance would suffer without temperature calibrations. This paper introduces a nonlinearity compensation technique for temperature-dependent nonlinearity calibration of moisture sensors, which is based on an adaptive nonlinear order regulating model. An adaptive algorithm is designed to automatically find the optimal order number, which was subsequently applied in a nonlinear mathematical model to compensate for the temperature effects and improve the moisture measurement accuracy. The integrated temperature and moisture sensor with the proposed adaptive nonlinear order regulating nonlinearity compensation technique is found to be more effective and yield better sensing performance.

Indexed as

adaptive order regulatingnonlinearity compensationtemperature and moisture sensortemperature-dependent nonlinearity

Identifiers

PMID31847225

DOI10.3390/mi10120878

PMCPMC6952882

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.