Autocorrelation analysis of vibro-acoustic signals measured in a test field for water leak detection

A Martini, A Rivola, M Troncossi - Applied Sciences, 2018 - mdpi.com
Featured Application The proposed method may be adopted for developing and
implementing an automated system for the early detection of leaks occurring in service pipes …

Bidirectional DC-DC power converter design optimization, modeling and control

J Zhang - 2008 - vtechworks.lib.vt.edu
In order to increase the power density, the discontinuous conducting mode (DCM) and small
inductance is adopted for high power bidirectional dc-dc converter. The DCM related current …

Advancements in wearable heart sounds devices for the monitoring of cardiovascular diseases

RS Ahmad, MS Khan, ME Hilal, B Khan, Y Zhang… - …, 2024 - Wiley Online Library
Cardiovascular diseases remain a leading global cause of mortality, underscoring the
urgent need for intelligent diagnostic tools to enhance early detection, prediction, diagnosis …

Experimental and statistical analysis of the flap gate energy loss and pressure fluctuation spatiotemporal characteristics of a mixed-flow pump device

B Zhang, L Cheng, W Jiao, D Zhang - Energy, 2023 - Elsevier
A Flap gate is an essential device that cuts off the water flow, reduces energy consumption
and ensures the safety of the pump unit. The characteristics of the flap gate energy loss and …

Spatial-temporal evolution and pressure fluctuation characteristics of the combined submerged vortex in a closed pump sump

B Zhang, A Yang, L Cheng, W Jiao, Y Chen, H Zhao - Physics of Fluids, 2023 - pubs.aip.org
Following the retrofit of the pump sump, there is a high risk of inducing the Combined
Submerged Vortex (CSV), which consists of the roof-attached vortex (RAV) and floor …

Adjusting dysarthric speech signals to be more intelligible

F Rudzicz - Computer Speech & Language, 2013 - Elsevier
This paper presents a system that transforms the speech signals of speakers with physical
speech disabilities into a more intelligible form that can be more easily understood by …

Process monitoring in friction stir welding using convolutional neural networks

R Hartl, A Bachmann, JB Habedank, T Semm, MF Zaeh - Metals, 2021 - mdpi.com
Preliminary studies have shown the superiority of convolutional neural networks (CNNs)
compared to other network architectures for determining the surface quality of friction stir …

Shear elastic modulus estimation from indentation and SDUV on gelatin phantoms

C Amador, MW Urban, S Chen, Q Chen… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
Tissue mechanical properties such as elasticity are linked to tissue pathology state. Several
groups have proposed shear wave propagation speed to quantify tissue mechanical …

Prediction of the surface quality of friction stir welds by the analysis of process data using Artificial Neural Networks

R Hartl, B Praehofer, MF Zaeh - Proceedings of the …, 2020 - journals.sagepub.com
Friction stir welding is an advanced joining technology that is particularly suitable for
aluminum alloys. Various studies have shown that welding quality depends significantly on …

Experimental investigation on pressure fluctuation reduction in a double suction centrifugal pump: Influence of impeller stagger and blade geometry

Y Zeng, Z Yao, F Wang, R Xiao… - Journal of Fluids …, 2020 - asmedigitalcollection.asme.org
The reduction in pressure fluctuation can suppress noise, balance the radial and axial
forces, and restrain the vibration level of a centrifugal pump. Impeller stagger and blade …