Compressed Sensing of Ultrasonic Phased Array Signal in Turbine Disc Rims Inspection Based on Greedy Algorithms

doi:10.3901/JME.2018.18.033

Abstract

Abstract: Ultrasonic phased array is one of the most widely used approaches in the nuclear power plants nondestructive testing (NDT). Aiming at reducing the amount of data processed in defect detection of the turbine disc rims, a compressed sensing (CS) of ultrasonic phased array signals is proposed based on greedy algorithms. Firstly, a simulation model of ultrasonic phased array defect detection is established using CIVA platform. Considering the influence of sampling rate, the optimal algorithm is selected among four greedy algorithms according to the percent residual difference (PRD) in different compression ratio (CR) levels. The reconstruction performance is then experimentally evaluated using the echo signals extracted from EDM notches of artificial mockup. By the comparison with conventional discrete wavelet transform (DWT) compression, the practicability of proposed CS applied for phased array signals in defect detection of the turbine disc rims is finally analyzed. The simulated results demonstrate that excellent recoveries can be obtained using measurement points less than the Nyquist sampling limitation required. Besides, the experimental performances of CS are comparable with that of DWT compression with PRD reaching 4.8152% when CR is 60%.

Key words: compressed sensing, greedy algorithms, nondestructive testing, turbine disc rim, ultrasonic phased array

CLC Number:

TB55
TN911

BAI Zhiliang, CHEN Shili, JIA Lecheng, ZENG Zhoumo. Compressed Sensing of Ultrasonic Phased Array Signal in Turbine Disc Rims Inspection Based on Greedy Algorithms[J]. Journal of Mechanical Engineering, 2018, 54(18): 33-41.

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