Detection signal design for failure detection using QCQP optimization

2017 ◽  
Author(s):  
Hector E. Rubio Scola ◽  
Ignacio Rubio Scola
Keyword(s):  
Failure Detection ◽  
Signal Design ◽  
Détection Signal ◽  
Detection Signal

scholarly journals Photoacoustics for listening to Metal Nanoparticles Super-Aggregates

2021 ◽  
Author(s):  
Roberto Li Voti ◽  
Grigore Leahu ◽  
Concita Sibilia ◽  
Roberto Matassa ◽  
Giuseppe Familiari ◽  
...  
Keyword(s):  
Metal Nanoparticles ◽  
Size Distribution ◽  
Packing Density ◽  
Self Assembly ◽  
Détection Signal ◽  
Photoacoustic Detection ◽  
New Strategy ◽  
Aggregate Packing ◽  
Detection Signal

Photoacoustic detection signal has been used to build a new strategy to determine the mesoscale self-assembly of metal nanoparticles in terms of size distribution and aggregate packing density (metal nanoparticles...

Experimental Study of the Influencing Factors of Elevator Cable Magnetic Flux Leakage Detection Signal

2013 ◽  
Vol 711 ◽  
pp. 327-332
Author(s):  
Yi Su ◽  
Zhen Zhang ◽  
Tao Zhang ◽  
Ming Li Yang ◽  
Mei Lin ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Probe Design ◽  
Détection Signal ◽  
Detection Mechanism ◽  
Fracture Width ◽  
Lift Off ◽  
Elevator Cable ◽  
Flux Leakage ◽  
Detection Signal

The detection mechanism of Magnetic Flux Leakage (MFL) Method of elevator cable is proposed. Using Gauss-Mercury method to analyze the influence of different factors that lift-off value, fracture width, broken wires number and diameter and depth all that based on the collecting experimental system of MFL signals. The method can be used to optimize the detection probe design and detection signal processing.

Adaptive denoising for laser detection signal of shell thickness based on variational mode decomposition

2017 ◽  
Vol 25 (8) ◽  
pp. 2173-2181
Author(s):  
李加福 LI Jia-fu ◽  
唐文彦 TANG Wen-yan ◽  
张晓琳 ZHANG Xiao-lin ◽  
王 军 WANG Jun
Keyword(s):  
Shell Thickness ◽  
Variational Mode Decomposition ◽  
Détection Signal ◽  
Laser Detection ◽  
Mode Decomposition ◽  
Detection Signal ◽  
Adaptive Denoising
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