PMID- 37413818
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230805
IS  - 1874-9968 (Electronic)
IS  - 0041-624X (Linking)
VI  - 134
DP  - 2023 Sep
TI  - Ultrasonic defect detection of high-density polyethylene pipe materials using FIR 
      filtering and block-wise singular value decomposition.
PG  - 107088
LID - S0041-624X(23)00164-6 [pii]
LID - 10.1016/j.ultras.2023.107088 [doi]
AB  - Condition monitoring of high-density polyethylene (HDPE) pipes used for fluid and 
      gas transfer is important for the safety of energy conservation and the 
      environment. Ultrasonic phased array imaging methods provide a solution to detect 
      and assess defects in HDPE pipes. However, ultrasonic bulk waves propagating in 
      these viscoelastic media are strongly attenuated, resulting in reduced signal 
      amplitude. In this study, a linear-phase Finite Impulse Response (FIR) filter is 
      used to remove unwanted frequency components from the measured ultrasonic signals 
      to improve the signal-to-noise ratio before applying the imaging algorithm of the 
      total focusing method (TFM). Building upon this, a block-wise singular value 
      decomposition (SVD) technique, which can adaptively determine the singular value 
      cutoff threshold based on each block in the whole TFM image, is used to enhance 
      the obtained TFM image quality. The performance of the combination of FIR 
      filtering and block-wise SVD technique is validated by experimental data of HDPE 
      pipe materials. Results demonstrate that the proposed approach generates good 
      images to provide the detection and characterization of side-drilled holes in 
      HDPE pipe materials.
CI  - Copyright (c) 2023 Elsevier B.V. All rights reserved.
FAU - Rao, Jing
AU  - Rao J
AD  - Key Laboratory of Precision Opto-mechatronics Technology of Education Ministry, 
      School of Instrumentation and Opto-Electronic Engineering, Beihang University, 
      Beijing, 100191, China. Electronic address: jingrao@buaa.edu.cn.
FAU - Zeng, Liang
AU  - Zeng L
AD  - School of Mechanical Engineering Xi'an Jiaotong University, Xi'an, Shaanxi 
      Province, 710049, China.
FAU - Liu, Menglong
AU  - Liu M
AD  - School of Mechanical Engineering and Automation, Harbin Institute of Technology, 
      Shenzhen, 518055, China.
FAU - Fu, Hailing
AU  - Fu H
AD  - School of Automation, Beijing Institute of Technology, Beijing, 100081, China. 
      Electronic address: hailing.fu@bit.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20230628
PL  - Netherlands
TA  - Ultrasonics
JT  - Ultrasonics
JID - 0050452
SB  - IM
OTO - NOTNLM
OT  - Block-wise singular value decomposition
OT  - Defect detection
OT  - FIR filter
OT  - Ultrasonic imaging
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/07/07 01:05
MHDA- 2023/07/07 01:06
CRDT- 2023/07/06 18:05
PHST- 2023/02/21 00:00 [received]
PHST- 2023/05/11 00:00 [revised]
PHST- 2023/06/18 00:00 [accepted]
PHST- 2023/07/07 01:06 [medline]
PHST- 2023/07/07 01:05 [pubmed]
PHST- 2023/07/06 18:05 [entrez]
AID - S0041-624X(23)00164-6 [pii]
AID - 10.1016/j.ultras.2023.107088 [doi]
PST - ppublish
SO  - Ultrasonics. 2023 Sep;134:107088. doi: 10.1016/j.ultras.2023.107088. Epub 2023 
      Jun 28.