Fuzzy pattern recognition in ultrasonic image diagnoses of solid rocket motor

Author

Zhong, Ji-Tang ; Cao, Fu-Qi

Author_Institution

Coll. of Mech. Eng. & Automatization, North Univ. of China, Taiyuan, China

Volume

3

fYear

2010

fDate

27-29 March 2010

Firstpage

523

Lastpage

526

Abstract

The fuzzy characteristic of adhesive quality is researched when multi-layered structure (steel shell, insulation layer, under layer and propellant) of the solid rocket motor is inspected in angle beam echo method by focused transducer. Fuzzy subordinate function model of the adhesive quality is set up based on the researches in theory and experiment. Sum up the multi-layer bonded structure fuzzy ultrasound image diagnosis methods and steps, Fuzzy image recognition on the adhesive quality of the each interface in solid rocket motor and is accomplished.

Keywords

adhesives; fuzzy set theory; image recognition; mechanical engineering computing; quality control; rocket engines; ultrasonic applications; adhesive quality fuzzy characteristic; angle beam echo method; focused transducer; fuzzy image recognition; fuzzy pattern recognition; fuzzy subordinate function model; insulation layer; multilayer bonded structure fuzzy ultrasound image diagnosis methods; solid rocket motor; steel shell; under layer; Focusing; Fuzzy set theory; Insulation; Pattern recognition; Propulsion; Rockets; Solids; Steel; Structural beams; Ultrasonic transducers; Ultrasonic Diagnoses Image; adhesive quality; fuzzy pattern recognition; multi-layer structure; solid rocket motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5486801

Filename

5486801