2013
DOI: 10.3390/s130708977
|View full text |Cite
|
Sign up to set email alerts
|

A Radiosonde Using a Humidity Sensor Array with a Platinum Resistance Heater and Multi-Sensor Data Fusion

Abstract: This paper describes the design and implementation of a radiosonde which can measure the meteorological temperature, humidity, pressure, and other atmospheric data. The system is composed of a CPU, microwave module, temperature sensor, pressure sensor and humidity sensor array. In order to effectively solve the humidity sensor condensation problem due to the low temperatures in the high altitude environment, a capacitive humidity sensor including four humidity sensors to collect meteorological humidity and a p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 16 publications
(8 citation statements)
references
References 24 publications
(20 reference statements)
0
8
0
Order By: Relevance
“…In recent years improvements in sensor manufacturing technologies have occurred driven by post-process high-speed, low-power and low-cost microelectronic hybrid circuits [ 1 – 4 ], modern signal conditioning methods [ 5 , 6 ] and advances in miniaturization technologies [ 7 11 ]. The requirement for commercial competiveness is sequential enhancement of quality and product reliability.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years improvements in sensor manufacturing technologies have occurred driven by post-process high-speed, low-power and low-cost microelectronic hybrid circuits [ 1 – 4 ], modern signal conditioning methods [ 5 , 6 ] and advances in miniaturization technologies [ 7 11 ]. The requirement for commercial competiveness is sequential enhancement of quality and product reliability.…”
Section: Introductionmentioning
confidence: 99%
“…Based on both theoretical analysis and experimental proof, during the accelerating and decelerating drying periods, the variation in the drying curve is rather different, which leads to relatively large errors in pre-and post-drying predicted moisture content. As a result, the Grubbs criterion is typically used to identify and remove invalid data [27] .…”
Section: Adaptive Recognition For the End Of The Predictive Algorithmmentioning
confidence: 99%
“…Then ˆj e M can be considered a bad value and is removed. In Equation ( 18), the term g 0 represents the Grubbs criterion discriminate coefficient, n represents the measurement time, θ is the degree of significance and is generally either 0.05 or 0.01, and σ is the standard deviation [27] . The Grubbs criterion distinguishing method can be used repeatedly until no gross or fault errors are detected.…”
Section: Adaptive Recognition For the End Of The Predictive Algorithmmentioning
confidence: 99%
“…Traditional methods such as 3 -criterion, Grubbs criterion, Chauvenet criterion, and Dixon criterion [19][20][21][22] are mainly utilizing simple statistics to identify gross errors, which do not consider time series features of data and often cannot obtain satisfactory results when there exist consecutive gross errors. Unlike them, AR model is based on mathematical modeling of a group of time series data assuming that each value of the series is dependent on a weighted sum of the "previous" values of the same series.…”
Section: Detecting and Correcting Gross Errors Based On Armentioning
confidence: 99%