Review on automated condition assessment of pipelines with machine learning
Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …
incidents continue occurring. Condition assessment of pipelines is essential to identify …
Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods
Acoustic emission (AE) technology is widely used to monitor the damage evolution of rock.
Identifying AE signals is crucial to reveal the rock cracking mechanism. The current tension …
Identifying AE signals is crucial to reveal the rock cracking mechanism. The current tension …
Review on acoustic emission source location, damage recognition and lifetime prediction of fiber-reinforced composites
W Zhou, Z Pan, J Wang, S Qiao, L Ma, J Liu… - Journal of Materials …, 2023 - Springer
Acoustic emission technology is an effective nondestructive testing method for fiber-
reinforced composites, which can monitor the damage process in real time. The main …
reinforced composites, which can monitor the damage process in real time. The main …
Feature extraction, recognition, and classification of acoustic emission waveform signal of coal rock sample under uniaxial compression
ZW Ding, XF Li, X Huang, MB Wang, QB Tang… - International Journal of …, 2022 - Elsevier
In this study, based on Mel frequency cepstrum coefficient (MFCC) method, the AE signal
characteristics of coal and rock samples were extracted, and the stress state criterion based …
characteristics of coal and rock samples were extracted, and the stress state criterion based …
A new qualitative acoustic emission parameter based on Shannon's entropy for damage monitoring
M Chai, Z Zhang, Q Duan - Mechanical Systems and Signal Processing, 2018 - Elsevier
An important objective of acoustic emission (AE) non-destructive monitoring is to accurately
identify approaching critical damage and to avoid premature failure by means of the …
identify approaching critical damage and to avoid premature failure by means of the …
Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning
D Xu, PF Liu, ZP Chen, JX Leng, L Jiao - Composite Structures, 2020 - Elsevier
Interest in damage mode classification of composite structures by Acoustic Emission (AE)
inspection technique and clustering analysis by machine learning has been increasingly …
inspection technique and clustering analysis by machine learning has been increasingly …
A new method for detecting fatigue crack initiation in aluminum alloy using acoustic emission waveform information entropy
Sensitive structures, such as airframes, need careful inspection and maintenance to avoid
fatigue failures. These activities are expensive, discrete and imperfect, since catastrophic …
fatigue failures. These activities are expensive, discrete and imperfect, since catastrophic …
Damage mode identification of adhesive composite joints under hygrothermal environment using acoustic emission and machine learning
D Xu, PF Liu, JG Li, ZP Chen - Composite structures, 2019 - Elsevier
This paper studies the hygrothermal aging effect on the damage behaviors of adhesive
composite joints by acoustic emission (AE) technique. Tensile tests and AE tests are …
composite joints by acoustic emission (AE) technique. Tensile tests and AE tests are …
A Kaiser window-based S-transform for time-frequency analysis of power quality signals
The accurate time-frequency (TF) positioning of power quality (PQ) disturbances is the basis
of dealing with PQ problems in power systems. To accurately detect PQ disturbances, this …
of dealing with PQ problems in power systems. To accurately detect PQ disturbances, this …
Structural health evaluation of the prestressed concrete using advanced acoustic emission (AE) parameters
G Ma, Q Du - Construction and Building Materials, 2020 - Elsevier
Acoustic emission (AE) is a promising technology for structural health monitoring to reduce
costs and improve performance but hard to interpret. This paper puts forward an advanced …
costs and improve performance but hard to interpret. This paper puts forward an advanced …