Comparison Study of HY-2A, WindSat, ASCAT Satellite Wind Data with In-situ Measurement Data

2019 ◽  
Vol 91 (sp1) ◽  
pp. 341 ◽  
Author(s):  
Jaehyuk Lee ◽  
Taerim Kim
Keyword(s):  
Measurement Data ◽  
In Situ Measurement ◽  
Wind Data ◽  
Comparison Study

The influence of wind speed on infrared temperature in impervious surface areas based on in situ measurement data

2019 ◽  
Vol 56 (6) ◽  
pp. 843-863
Author(s):  
Hongmei Zhao ◽  
Yuyu Zhou ◽  
Xiaoma Li ◽  
Chunyan Liu ◽  
Xiaoling Chen
Keyword(s):  
Wind Speed ◽  
Measurement Data ◽  
Impervious Surface ◽  
In Situ Measurement ◽  
Surface Areas

scholarly journals SEASONAL BEHAVIOR ON TIDAL CURRENT BY USING IN SITU MEASUREMENT DATA IN THE MINAMATA BAY

2005 ◽  
Vol 49 ◽  
pp. 1285-1290
Author(s):  
Akihide TADA ◽  
Natsuki YANASE ◽  
Shinichiro YANO ◽  
Takehiro NAKAMURA ◽  
Hideo OSHIKAWA ◽  
...  
Keyword(s):  
Tidal Current ◽  
Measurement Data ◽  
In Situ Measurement ◽  
Seasonal Behavior ◽  
Minamata Bay

New Gas Atomizing Technique for Nb3Al Intermetallic Alloy

1994 ◽  
Vol 364 ◽  
Author(s):  
Noriaki Murahashi ◽  
Hiroaki Kohmoto ◽  
Tohru Kohno
Keyword(s):  
Size Distribution ◽  
Supersaturated Solid Solution ◽  
Measurement Data ◽  
In Situ Measurement ◽  
Powder Size ◽  
Intermetallic Alloys ◽  
Structural Applications ◽  
Powder Size Distribution ◽  
Rapidly Solidified

AbstractPlasma-Melt-Gas-Atomizing (PMGA) technique has been developed to produce rapidly solidified powders of intermetallic alloys for ultra-high temperature structural applications. Using this technique, rapidly solidified Nb3Al powders have been produced. These powders consist mainly of supersaturated solid solution of Al in Nb (A2), while the conventional cast structure consists of ordered A 15, and may be a good source for most powder metallurgical applications. Furthermore, a unique technique to control the powder size distribution is currently under development. In-situ measurement method of the atomized powder size distribution has been examined by using phase Doppler particle analyzer to control final powder size distribution by the feedback from the in-situ measurement data to the control system of the Plasma-Melt-Gas-Atomizer.

In-Situ Monitoring and Prediction of Progressive Joint Wear Using Bayesian Statistics

2010 ◽  
Author(s):  
Dawn An ◽  
Nam Ho Kim ◽  
Jooho Choi
Keyword(s):  
Relative Motion ◽  
Posterior Distribution ◽  
Measurement Data ◽  
In Situ Measurement ◽  
In Situ Monitoring ◽  
Wear Volume ◽  
Wear Coefficient ◽  
Revolute Joint ◽  
Joint Force

In this paper, a statistical methodology of estimating wear coefficient and predicting wear volume in a revolute joint using in-situ measurement data is presented. An instrumented slider-crank mechanism is built, which can measure the joint force and the relative motion between the pin and bushing during operation. The former is measured using a load cell built onto a necked portion of the hollow steel pin, while the latter is measured using a capacitance probe. In order to isolate the effect of friction in other joints, a porous carbon air bearing for the revolute joint between the follower link and the slide stage, as well as a prismatic joint for the linear slide, are used. Based on the relative motion between the centers of pin and bushing, the wear volumes are estimated at six different operating cycles. The Bayesian inference technique is used to update the distribution of wear coefficient, which incorporates in-situ measurement data to obtain the posterior distribution. In order to obtain the posterior distribution, Markov Chain Monte Carlo technique is employed, which effectively draws samples of the given distribution. The results show that it is possible to narrow the distribution of wear coefficient and to predict the future wear volume with reasonable confidences. The effect of prior distribution on the wear coefficient is discussed by comparing with non-informative case.

In Situ Measurement of Soil Heat Flux with the Gradient Method

2003 ◽  
Vol 2 (4) ◽  
pp. 589
Author(s):  
Douglas R. Cobos ◽  
John M. Baker
Keyword(s):  
Heat Flux ◽  
Gradient Method ◽  
Soil Heat Flux ◽  
In Situ Measurement
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