TY - JOUR
N2 - The accurate measurement of time-of-flight (TOF) is essential in ultrasonic testing. Further, noise interference is the key factor affecting the measurement accuracy. Therefore, to develop a reliable computational method of TOF for test pieces working in noisy environments, an integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm (GA–LM) for ultrasonic thickness measurement is proposed in the present research. A Gaussian model is first established for an echo signal. Further, the model-based parameter estimation is converted into a nonlinear optimization problem by applying the least square method. As the parameter estimation methods are easily affected by the initial value, an integrating innovation of the GA–LM algorithm is proposed. The initial values of the model parameters are selected by GA to obtain an approximate global optimal solution. Subsequently, this approximate solution is used as the initial value for the LM algorithm to perform iterations. The accurate global optimal solution of the Gaussian model is obtained through these iterations. Finally, the measuring accuracy and robustness of the GA–LM algorithm for TOF computation are verified by both numerical simulation and experiment data
L1 - http://journals.pan.pl/Content/131358/11_2k.pdf
L2 - http://journals.pan.pl/Content/131358
PY - 2024
IS - No 1
EP - 177
DO - 10.24425/mms.2024.148536
KW - time-of-flight
KW - parameter estimation
KW - Genetic algorithm
KW - Levenberg–Marquardt algorithm
KW - measuring accuracy
A1 - Li, Xiang
A1 - Jia, Jiuhong
A1 - Yang, Dongxu
A1 - Gu, Yiqing
PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation
VL - vol. 31
DA - 14.05.2024
T1 - An integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm for ultrasonic testing
SP - 165
UR - http://journals.pan.pl/dlibra/publication/edition/131358
T2 - Metrology and Measurement Systems
ER -