Mechanical & Industrial Engineering: Recent submissions
Now showing items 121-140 of 1396
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Business Process Re-Engineering: A Literature Review-Based Analysis of Implementation Measures
( MDPI , 2022 , Article)Business process re-engineering (BPR) is an approach to improving organizational performance. It evolved mostly within the private sector to maintain a successful business model despite increasing global competition. BPR ... -
How eco-efficient are electric vehicles across Europe? A regionalized life cycle assessment-based eco-efficiency analysis
( John Wiley and Sons Ltd , 2021 , Article)Sustainable transportation is at the hearth of the United Nation's Sustainable Development Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well-being), SDG11 (sustainable cities and societies), ... -
Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule
( Elsevier , 2020 , Article)High-dimensional variability monitoring and diagnosing is of great prominence for the quality improvement and cost reduction. Most of the existing control charts are mainly based on the assumption that the in-control ... -
Modeling the Impact of Weather Conditions on Pedestrian Injury Counts Using LASSO-Based Poisson Model
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Statistical models for measuring the impact of adverse weather conditions on pedestrian injuries are of great importance for enhancing road safety measures. The development of these models in the presence of high collinearity ... -
Monitoring of simple linear quality profiles using dEWMA statistic under uncertainty of process deviations
( IEOM Society , 2019 , Conference Paper)The quality of process or product is often characterized by the univariate or multivariate distribution of quality characteristics. The linear profiles are widely used to model the relationship between dependent and ... -
Innovation-Based Strategic Roadmap for Economic Sustainability and Diversity in Hydrocarbon-Driven Economies: The Qatar Perspective
( MDPI , 2024 , Article)This research addresses the critical opportunities and challenges confronting economic sustainability for hydrocarbon-based economies. The primary objective is to advocate for a transformative shift towards diversified and ... -
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals
( Elsevier , 2022 , Article)Backgroundand Motivations: Continuous Blood Pressure (BP) monitoring is crucial for real-time health tracking, especially for people with hypertension and cardiovascular diseases (CVDs). The current cuff-based BP monitoring ... -
Optimization of Viscoelastic Metamaterials for Vibration Attenuation Properties
( World Scientific , 2020 , Article)Metamaterials (MMs) are composites that are artificially engineered to have unconventional mechanical properties that stem from their microstructural geometry rather than from their chemical composition. Several studies ... -
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 ... -
Active control of noise in ventilation ducts
( Canadian Acoustical Association , 2019 , Conference Paper)Ventilation ducts are often lined with passive absorption material for both thermal insulation and noise and vibration reduction. However, the noise reduction performance is not significant at low frequencies. Active Noise ... -
Experimental detection of localized surface defects in ball bearings using vibration analysis
( Canadian Acoustical Association , 2019 , Conference Paper)This study aimed at the monitoring of bearing health condition, based on vibration measurement. For that purpose, small circular defects were seeded on outer and inner rings of similar bearings, by using the principle of ... -
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 ... -
Fault classification using convolutional neural networks and color channels for time-frequency analysis of acoustic emissions
( SAGE Publications Inc. , 2023 , Article)We present a novel method for real-time fault classification using the time history of acoustic emissions (AEs) recorded from a lab-scale gas turbine operating under normal and faulty conditions across multiple turbine ... -
Using probabilistic neural networks for modeling metal fatigue and random vibration in process pipework
( John Wiley and Sons Inc , 2022 , Article)Many experiments are usually needed to quantify probabilistic fatigue behavior in metals. Previous attempts used separate artificial neural network (ANN) to calculate different probabilistic ranges which can be computationally ... -
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 ... -
Nonlinear analysis of shell structures using image processing and machine learning
( Elsevier , 2023 , Article)In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications ... -
Gas turbine failure classification using acoustic emissions with wavelet analysis and deep learning
( Elsevier , 2023 , Article)Compared to vibration monitoring, acoustic emission (AE) monitoring in gas turbines is highly sensitive to changes that do not involve whole-body motion, such as wear, rubbing, and fluid-induced faults. AE signals captured ... -
Design and testing of a hybrid electromagnetic damping device for automotive applications
( Elsevier , 2024 , Article)This study proposes a new design concept for combining a viscous fluid damper (VFD) with an eddy current damper (ECD). Three main concepts were thoroughly discussed: the magnetic system, the conductive material, and the ... -
MODAL CHARACTERIZATION AND ROAD ROUGHNESS RECONSTRUCTION USING DYNAMIC VEHICLE ACCELERATIONS AND ANNS
( National Technical University of Athens , 2023 , Conference Paper)Road networks are considered huge and critical infrastructures that support the development and growth of societies. These infrastructures deteriorate over time due to regular usage and/or external environmental factors. ... -
Investigating the effect of using softer rail-pads on ground-borne vibration from underground railways
( Taylor and Francis Ltd. , 2023 , Article)In this study, a series of vibration measurements were performed on a section of one of the lines of the Doha Metro to explore the effect of changing rail-pads from conventional higher stiffness under-rail pads to lower ...
