Uncertainty evaluation of conductance moisture meters for rough grain

Chen, Chiachung

doi:10.1016/j.biosystemseng.2007.12.007

Cited by 6 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Peak value of the resistance curve in the extrusion process is usually affected by various kinds of disturbances such as the falling attitude or inherent mechanism of grains, which will also bring random errors in the prediction of moisture content. This phenomenon also explains the reason why the measurement result was not accurate in the high moisture section when the resistance value was used to characterize the moisture content in the previous research [ 16 ]. Contrary to peak value, we found that the CV of peak area was larger in the low moisture section.…”

Section: Resultsmentioning

confidence: 99%

“…Nowadays, many arising devices based on the indirect methods such as electrical resistance method and near-infrared spectroscopy method have been employed for testing single grain moisture [ 15 ]. Chen et al [ 16 ] reported that the uncertainty in the evaluation of a single-kernel inspection-type conductance meter (Shizuoka Seiki model CTR-E200) for rough rice and the results showed that the average moisture content error was greater than 3%. However, when the moisture content of rice is higher than 25%w.b., the reading values begin to deviate drastically from the linear region with errors more than 6%.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Developing an Online Measurement Device Based on Resistance Sensor for Measurement of Single Grain Moisture Content in Drying Process

Huang

et al. 2020

Sensors

View full text Add to dashboard Cite

The online measurement of moisture content for grains is an essential technology to realize real-time tracking and control, improve drying quality and reduce energy consumption of the drying process. To improve the measurement accuracy and reliability of the dynamic measurement process as well as expand the application scope of the device, the present work constructed an experimental equipment for determining dynamic resistance characteristics of a single grain. The relations between moisture content and real-time resistance waveform were revealed, and an analytical calculation method of peak value and peak area of waveform was proposed, which correctly revealed the electrical measurement properties of grain. The results demonstrated that the gap width between the electrodes had large influence on the sensor’s performance. Moreover, an online measuring device was developed based on the experimental analysis and calculation method, and the test results in both lab and field for different grains showed that online real-time absolute measurement error are within ±0.5% in the varied moisture content (10–35%w.b.) and the temperature (−20–50 °C). The main results and the developed device might provide technical support for developing intelligent grain drying equipment.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing an Online Measurement Device Based on Resistance Sensor for Measurement of Single Grain Moisture Content in Drying Process

Huang

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The systematic errors could be expressed as errors and improved by its calibration equation. These procedures have been studied [ 18 , 26 ]. The random errors can only be improved by selecting of sensing elements or increasing sample numbers.…”

Section: Resultsmentioning

confidence: 99%

“…In the previous study, the uncertainty of measurement for thermometer, hygrometer and rough rice moisture meter could be improved by establishing the adequate calibration Equations [ 18 , 19 , 26 ]. In this study, the measuring errors could be reduced by the calibration equations.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Performance and Uncertainty of Infrared Tympanic Thermometers

Chung

Chen

2010

Sensors

Self Cite

View full text Add to dashboard Cite

Infrared tympanic thermometers (ITTs) are easy to use and have a quick response time. They are widely used for temperature measurement of the human body. The accuracy and uncertainty of measurement is the importance performance indicator for these meters. The performance of two infrared tympanic thermometers, Braun THT-3020 and OMRON MC-510, were evaluated in this study. The cell of a temperature calibrator was modified to serve as the standard temperature of the blackbody. The errors of measurement for the two meters were reduced by the calibration equation. The predictive values could meet the requirements of the ASTM standard. The sources of uncertainty include the standard deviations of replication at fixed temperature or the predicted values of calibration equation, reference standard values and resolution. The uncertainty analysis shows that the uncertainty of calibration equation is the main source for combined uncertainty. Ambient temperature did not have the significant effects on the measured performance. The calibration equations could improve the accuracy of ITTs. However, these equations did not improve the uncertainty of ITTs.

show abstract

“…The average difference between this method and the oven method was 0.52%. [7] Chen, reported uncertainty in the evaluation of conductance moisture meters model CD-5 andCTR-E200 for rough rice grain the average moisture content error was 1.99% and 3.0% in CTRE200. Electrical measurement of moisture content in single kernels of corn, more than 80%MC of the kernels were measured to within 1% moisture content [8] and 91% of the kernels of reference values determined by oven-method [9].…”

Section: Introductionmentioning

confidence: 99%

Determine of Moisture Content for Rough Rice Single Kernel by Visible/NIR Spectroscopy

Heman

Hsieh

2014

AMR

View full text Add to dashboard Cite

Moisture content (MC) of rough rice directly affects rice quality and its market value. This study applied spectroscopy both in visible 400-700 nm and NIR 700-1050 nm bands to record spectrum of rough rice single kernel (SK). Tainan No.11 medium rice randomly collected from field. After machine harvested, it was used in the tests and they were conditioned by oven to five MC levels ranging from 10.2 to 35.9%. Two regression methods, multiple linear regressions (MLR) and partial least square regression (PLSR), were applied to develop calibration models. Among 7 tested models were found that PLSR model of first differential with 21 gap points, which are rc=0.98, SEC=1.1% for calibration and rp=0.96, SEP=1.9% for prediction. The results suggested average accuracy for the best model was about 98.4% in 400-1050 nm wavelength.

show abstract

Uncertainty evaluation of conductance moisture meters for rough grain

Cited by 6 publications

References 23 publications

Developing an Online Measurement Device Based on Resistance Sensor for Measurement of Single Grain Moisture Content in Drying Process

Developing an Online Measurement Device Based on Resistance Sensor for Measurement of Single Grain Moisture Content in Drying Process

Evaluation of Performance and Uncertainty of Infrared Tympanic Thermometers

Determine of Moisture Content for Rough Rice Single Kernel by Visible/NIR Spectroscopy

Contact Info

Product

Resources

About