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Suppression of Tremors in Parkinson's Patients Using a Dynamic Vibration Absorber
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Parkinson's disease is a central nervous system disorder, whose effects and symptoms are evident in the physical movement and appearance of the patient. The frequency range of 2-10 Hz is mostly where the balanced muscles ...
AIRFOIL-BASED SELF-ADJUSTABLE PIEZOELECTRIC ENERGY HARVESTER IN FLUID-FLOW APPLICATIONS FOR PERFORMANCE OPTIMIZATION
(
Society of Acoustics
, 2022 , Conference Paper)
Piezoelectric vibration energy harvesters can be utilized to harvest kinetic energy from fluid flow for remote sensing applications. Vortex formation behind a bluff body that is coupled to a beam oscillates with two ...
MAGNETORHEOLOGICAL ELASTOMER-BASED FLEXIBLE COUPLING FOR TORSIONAL VIBRATION ISOLATION
(
Society of Acoustics
, 2022 , Conference Paper)
Employing vibration isolation can avoid the detrimental effects of unattenuated torsional vibrations on rotary mechanical equipment. Semi-active vibration isolators can effectively reduce the vibration levels in mechanical ...
Optimal Sizing of Renewable Generation and Battery Energy Storage System for Electric Vehicles Considering Energy Management Strategy
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
This paper proposes the optimum capacity of renewable based energy system considering Solar PV, Wind turbines and Battery energy storage for meeting plugin-in Electric vehicles (PEV) load requirements in a case study of ...
Optimising stop-bands in periodic waveguides using genetic algorithms and wave finite element method
(
American Institute of Physics
, 2024 , Conference Paper)
In this paper, we propose using the wave finite element method and genetic algorithms to design periodic waveguide structures with optimal stop-bands. Instead of modelling waveguides using the standard finite element method, ...
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
(
Springer Science and Business Media B.V.
, 2023 , Conference Paper)
Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ...
Road Profile Estimation Using Full/Quarter-Car Model with Artificial Neural Networks
(
Springer Science and Business Media Deutschland GmbH
, 2024 , Conference Paper)
The monitoring of road roughness is one of the first and most critical steps in road maintenance. Road networks need constant maintenance to function properly and avoid any hazardous accidents or blockage of the traffic ...
A MEASUREMENT CAMPAIGN TO INVESTIGATE THE EFFECT OF USING SOFT RAILPADS ON GROUND-BORNE VIBRATIONS FROM UNDERGROUND RAILWAYS
(
Society of Acoustics
, 2023 , Conference Paper)
Railway networks may run through or beneath populated regions and significant landmarks. Hence, the ground-borne vibration caused by the trains might affect nearby buildings, residents, and the sensitive equipment within ...
Classification of Process Pipework Vibration Using Machine Learning
(
Springer Science and Business Media Deutschland GmbH
, 2024 , Conference Paper)
This paper aims to use a deep convolution neural network (CNN) to classify pipework vibrations. Vibration levels are a good indicator of the risk of vibration-induced fatigue failures (VIF). Vibrations in pipework are very ...
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
(
Society of Acoustics
, 2022 , Conference Paper)
Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ...