Evaluating the temperature error of inductive measuring transducers

1974 ◽  
Vol 17 (1) ◽  
pp. 95-99
Author(s):  
A. V. Fedotov
Keyword(s):  
Temperature Error ◽  
Inductive Measuring

scholarly journals A Digital Improvement—Trimming a Digital Temperature Sensor with EEPROM Reprogrammable Fuses

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1700
Author(s):  
Anca Mihaela Vasile (Dragan) ◽  
Alina Negut ◽  
Adrian Tache ◽  
Gheorghe Brezeanu
Keyword(s):  
Standard Deviation ◽  
Power Supply ◽  
Temperature Sensor ◽  
Experimental Results ◽  
Temperature Error ◽  
Thermal Sensor ◽  
Memory Cells ◽  
Temperature Range ◽  
Read Only Memory ◽  
Digital Temperature Sensor

An EEPROM (electrically erasable programmable read-only memory) reprogrammable fuse for trimming a digital temperature sensor is designed in a 0.18-µm CMOS EEPROM. The fuse uses EEPROM memory cells, which allow multiple programming cycles by modifying the stored data on the digital trim codes applied to the thermal sensor. By reprogramming the fuse, the temperature sensor can be adjusted with an increased trim variation in order to achieve higher accuracy. Experimental results for the trimmed digital sensor showed a +1.5/−1.0 ℃ inaccuracy in the temperature range of −20 to 125 ℃ for 25 trimmed DTS samples at 1.8 V by one-point calibration. Furthermore, an average mean of 0.40 ℃ and a standard deviation of 0.70 ℃ temperature error were obtained in the same temperature range for power supply voltages from 1.7 to 1.9 V. Thus, the digital sensor exhibits similar performances for the entire power supply range of 1.7 to 3.6 V.

scholarly journals Global 3D Features of Error Variances of GPS Radio Occultation and Radiosonde Observations

2020 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Xu Xu ◽  
Xiaolei Zou
Keyword(s):  
Radio Occultation ◽  
Weather Prediction ◽  
Lower Troposphere ◽  
Error Variance ◽  
Specific Humidity ◽  
Temperature Error ◽  
Observation Error ◽  
Bending Angle ◽  
Gps Radio Occultation ◽  
Low Latitudes

Global Positioning System (GPS) radio occultation (RO) and radiosonde (RS) observations are two major types of observations assimilated in numerical weather prediction (NWP) systems. Observation error variances are required input that determines the weightings given to observations in data assimilation. This study estimates the error variances of global GPS RO refractivity and bending angle and RS temperature and humidity observations at 521 selected RS stations using the three-cornered hat method with additional ERA-Interim reanalysis and Global Forecast System forecast data available from 1 January 2016 to 31 August 2019. The global distributions, of both RO and RS observation error variances, are analyzed in terms of vertical and latitudinal variations. Error variances of RO refractivity and bending angle and RS specific humidity in the lower troposphere, such as at 850 hPa (3.5 km impact height for the bending angle), all increase with decreasing latitude. The error variances of RO refractivity and bending angle and RS specific humidity can reach about 30 N-unit2, 3 × 10−6 rad2, and 2 (g kg−1)2, respectively. There is also a good symmetry of the error variances of both RO refractivity and bending angle with respect to the equator between the Northern and Southern Hemispheres at all vertical levels. In this study, we provide the mean error variances of refractivity and bending angle in every 5°-latitude band between the equator and 60°N, as well as every interval of 10 hPa pressure or 0.2 km impact height. The RS temperature error variance distribution differs from those of refractivity, bending angle, and humidity, which, at low latitudes, are smaller (less than 1 K2) than those in the midlatitudes (more than 3 K2). In the midlatitudes, the RS temperature error variances in North America are larger than those in East Asia and Europe, which may arise from different radiosonde types among the above three regions.

Inductive Sensor for Weighing of Mass

2011 ◽  
Vol 18 (2) ◽  
pp. 323-334
Author(s):  
Janusz Lewandowski
Keyword(s):  
Ambient Temperature ◽  
Strain Gauge ◽  
Electronic System ◽  
Constant Load ◽  
Load Cell ◽  
Measuring System ◽  
Main Element ◽  
Digital Correction ◽  
Inductive Sensor ◽  
Inductive Measuring

Inductive Sensor for Weighing of Mass A new method measuring of mass in electronic system of scales has been described. The main element of this system is inductive measuring load cell, which was compared with strain gauge load cell. The aim of the paper is described advantages of the inductive measuring system of mass and explain some main problems of this system. Digital correction of the mechanical errors of the beam like: hysteresis, creep material of the beam under constant load, influence of ambient temperature was described.

Design of a temperature error correction method used for meteorology and climate research

2021 ◽  
Vol 263 ◽  
pp. 105817
Author(s):  
Jie Yang ◽  
Qingquan Liu ◽  
Gaoying Chen ◽  
Xuan Deng ◽  
Li Zhang
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Temperature Error ◽  
Climate Research ◽  
Error Correction Method

scholarly journals Control temperature error analysis

1965 ◽  
Author(s):  
L. Mackey ◽  
H. Kirschbaum
Keyword(s):  
Error Analysis ◽  
Temperature Error ◽  
Control Temperature

The Use of an Inductive Coil System for the Description of Damages in Apple Tissue with Electrical Parameters

2011 ◽  
Vol 7 (3) ◽  
Author(s):  
Frank Euring ◽  
Winfried Russ ◽  
Uwe Grupa
Keyword(s):  
Electrical Parameters ◽  
Cell Destruction ◽  
Coil System ◽  
Thaw Cycle ◽  
Inductive Measuring ◽  
Before And After ◽  
Freeze Thaw Cycle ◽  
Apple Tissue ◽  
Inline Measurement ◽  
Mass Dependent

The main objective of this work was to determine if it is possible to distinguish between intact and destroyed apple tissue with an inductively working coil system. With conductive measurement, it is possible to measure the amount of destroyed cell in plant tissues. Destroyed cells in plant tissue can mean bad quality for the particular product. The advantage of the inductive measuring technique is the possibility to measure the complete product contactless and non-destructively during the production process. Hence, an inline measurement system could be developed.In order to destroy cells in apples, a freeze-thaw cycle was subjected to three different apples varieties (Braeburn, Jonagold and Idared). The changes of the electrical parameters were observed before and after the thermal treatment.It could be demonstrated that the inductive measuring leads to similar statements as conductive measuring methods. The electrical parameters showed mass dependent. Hence, the electrical parameters had to be normalized to the sample mass. The mass normalized voltage UB,normalized is well suited to describe the cell destruction. It could be shown that the cell destruction provides higher UB,normalized-values.

Assessing the Temperature Error in Operational Machine Tools

2018 ◽  
Vol 38 (5) ◽  
pp. 408-410 ◽  
Author(s):  
A. N. Polyakov ◽  
A. N. Goncharov ◽  
S. V. Kamenev
Keyword(s):  
Machine Tools ◽  
Temperature Error
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