English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Affected by internal and external mechanical system, environment and other factors, which most likely cause lower measuring precision that can not reach the requirements of measurement and control system in present NDIR sensor. To deal with this problem, this paper puts forward the method of building model for concentration measurement error based on SVR: based on using the differential absorption detection technology to eliminate mechanical factors inside sensor, it adopt SVR learning algorithm, which can build concentration measurement error prediction model under dynamic environment in the given training set. Then we can make corresponding error compensation for gas concentration measurement by using the model. So the gas measurement concentration is largely close to the true value. The experimental result show that regression effect of the SVR learning algorithm is good for model of concentration measurement error, meet the demand of precision of measurement and control system. Keywords—NDIR sensor; the differential absorption detection technology; SVR; concentration measurement error mode

Prediction Model for Concentration Measurement Error Based on SVR in the NDIR Sensor