A statistical
analysis, properly conducted, is a delicate dissection of uncertainties, a
surgery of suppositions. ~M.J. Moroney
Signal analysis and feature
extraction
Development of I-kaz Analysis Method
·
Intergrated Kurtosis-based Algorithm for Z-notch
filter (I-kaz)
·
I-Kaz
coefficient, Z∞
·
3D Graphical
representation of I-kaz
Decomposition of time series (data) into 3 frequencies
band
3
frequencies ranges in I-kaz Axis of I-kaz graphical representation:
·
x-axis : low
frequency (LF) range of 0-0.20 fmax
·
y-axis : high
frequency (HF) range of 0.20 fmax – 0.5 fmax
·
z-axis : very
high frequency (VF) range of 0.5 fmax
Derivation
of I-kaz coef
Construction
of 3-D Graphical representation of I-kaz
APPLICATION 1
·
I-kaz™ method had been utilize in various application.
·
One of them are study of acoustic signal characteristic in impact
testing.(Hilmi 2011)
·
The structure borne ultrasonic (SBU) and air borne ultrasonic
(ABU) signal of a low carbon steel 1050 is analyzed by I-kaz™ method.
I-kaz™
coefficient for SBU and ABU of low carbon steel 1050
I-kaz™ graphical representation of
structure borne ultrasonic signal
I-kaz™ graphical representation of air borne ultrasonic
signal
· From this study, we had discover that I-kaz™ coefficient will increase as the
impact imposed on a material increase. The coefficient of I-kaz™ is directly proportional
to the magnitude of the impact produced.
·
Also, the scattering size of the 3D graphical representation
increase with every increment of the impact magnitude.
APPLICATION II
·
Signal Processing Method for Evaluating Worn Damage of
Sliding Bearing
A comparative
experimental study on the application of airborne technique for condition
monitoring of connecting rod bearings between the conventional specific wear
rates, K′ and the established I-kaz method.
Experiment Setup
RESULT
CORRELATION
New Mathematical Model
K′Z∞0.57= 0.328
END OF PART 1
No comments:
Post a Comment