Single-Input and Multiple-Output Surface Acoustic Wave Sensing for Damage Quantification in Piezoelectric Sensors

Autor: Anowarul Habib, Frank Melandsø, Lavish Pamwani, Amit Shelke, Balpreet Singh Ahluwalia
Rok vydání: 2018
Předmět:
Materials science
Piezoelectric sensor
Interdigital transducer
principal component analysis
Acoustics
interdigital transducer
02 engineering and technology
VDP::Technology: 500::Electrotechnical disciplines: 540::Other electrotechnical disciplines: 549
lcsh:Chemical technology
01 natural sciences
Biochemistry
Article
surface acoustic wave
Analytical Chemistry
symbols.namesake
0103 physical sciences
Perpendicular
lcsh:TP1-1185
Electrical and Electronic Engineering
Rayleigh wave
empirical mode decomposition
010301 acoustics
Instrumentation
Microscale chemistry
condition indicator
Surface acoustic wave
VDP::Teknologi: 500::Elektrotekniske fag: 540::Andre elektrotekniske fag: 549
Acoustic wave
021001 nanoscience & nanotechnology
Atomic and Molecular Physics
and Optics

Computer Science::Other
Euclidean distance
VDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism
acoustics
optics: 434

VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme
akustikk
optikk: 434

symbols
0210 nano-technology
Zdroj: Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 7, p 2017 (2018)
Sensors
Volume 18
Issue 7
ISSN: 1424-8220
Popis: The main aim of the paper is damage detection at the microscale in the anisotropic piezoelectric sensors using surface acoustic waves (SAWs). A novel technique based on the single input and multiple output of Rayleigh waves is proposed to detect the microscale cracks/flaws in the sensor. A convex-shaped interdigital transducer is fabricated for excitation of divergent SAWs in the sensor. An angularly shaped interdigital transducer (IDT) is fabricated at 0 degrees and ±
20 degrees for sensing the convex shape evolution of SAWs. A precalibrated damage was introduced in the piezoelectric sensor material using a micro-indenter in the direction perpendicular to the pointing direction of the SAW. Damage detection algorithms based on empirical mode decomposition (EMD) and principal component analysis (PCA) are implemented to quantify the evolution of damage in piezoelectric sensor material. The evolution of the damage was quantified using a proposed condition indicator (CI) based on normalized Euclidean norm of the change in principal angles, corresponding to pristine and damaged states. The CI indicator provides a robust and accurate metric for detection and quantification of damage.
Databáze: OpenAIRE