Static phase improvements in the LNE watt balance

2016 ◽  
Vol 87 (10) ◽  
pp. 105113 ◽  
Author(s):  
P. Pinot ◽  
P. Espel ◽  
Y. Liu ◽  
M. Thomas ◽  
D. Ziane ◽  
...  
Keyword(s):  
Static Phase ◽  
Watt Balance

Static phase improvements in the LNE watt balance

2016 ◽  
Author(s):  
Patrick Espel ◽  
Matthieu Thomas ◽  
Djamel Ziane ◽  
Patrick Pinot ◽  
Francois Piquemal
Keyword(s):  
Static Phase ◽  
Watt Balance

Design of the new METAS watt balance experiment Mark II

Metrologia ◽  
2013 ◽  
Vol 50 (3) ◽  
pp. 235-242 ◽  
Author(s):  
H Baumann ◽  
A Eichenberger ◽  
F Cosandier ◽  
B Jeckelmann ◽  
R Clavel ◽  
...  
Keyword(s):  
Watt Balance

The effect of leg length discrepancy upon load distribution in the static phase (standing)

2014 ◽  
Vol 40 (4) ◽  
pp. 561-563 ◽  
Author(s):  
V. Swaminathan ◽  
M. Cartwright-Terry ◽  
J.D. Moorehead ◽  
A. Bowey ◽  
S.J. Scott
Keyword(s):  
Load Distribution ◽  
Leg Length Discrepancy ◽  
Leg Length ◽  
Length Discrepancy ◽  
Static Phase

Piston guide and magnet assembly for the KRISS watt balance

2016 ◽  
Author(s):  
D. Kim ◽  
B.-C. Woo ◽  
D. Ha ◽  
S.-U. Lee ◽  
H.-S. Park ◽  
...  
Keyword(s):  
Watt Balance

In situ correction of abbe offset error in the watt balance experiment

CPEM 2010 ◽  
2010 ◽  
Author(s):  
D. Haddad ◽  
R. Steiner ◽  
E. Williams ◽  
R. Liu
Keyword(s):  
Watt Balance ◽  
Offset Error

Investigation on the Noise Separation in Watt Balance Experiments

2008 ◽  
Vol 381-382 ◽  
pp. 619-622
Author(s):  
W. Zeng ◽  
Xiang Qian Jiang ◽  
P. Scott ◽  
L. Blunt
Keyword(s):  
Background Noise ◽  
International System ◽  
Histogram Method ◽  
Stationary Noise ◽  
Vibration Data ◽  
System Of Units ◽  
Environmental Vibration ◽  
Transient Events ◽  
Watt Balance ◽  
Definition Of

The detection of stationary and non-stationary noise in environmental vibration data is an important issue when considering the precision of the Watt balance, an electromechanical apparatus for the new definition of the kilogram in the international system of Units (SI). In this paper, the authors propose a frequency histogram method to find the structure of the stationary noise from large amount of datasets. For the non-stationary noise, the authors propose a wavelet based denoising methods to distinguish the transient events from the background “noise”, to find their duration and content and to identify their location in time.

Sign in / Sign up

Export Citation Format

Share Document