Search Results - "Althobiani, Faisal"
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A Novel Framework for Robust Bearing Fault Diagnosis: Preprocessing, Model Selection, and Performance Evaluation
Published in IEEE access (2024)“…Diagnosing bearing faults is crucial for maintaining, ensuring reliability, and extending the lifespan of rotary machines. This process helps prevent…”
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An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks
Published in Expert systems with applications (01-07-2014)“…•A new scheme for fault diagnosis of reciprocating compressor valves is proposed.•The proposed scheme is evaluated with experimental data.•A comparative study…”
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3
Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
Published in Advances in Mechanical Engineering (01-02-2021)“…Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the…”
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4
Interference mitigation in intentional jammers aided non-uniform heterogeneous cellular networks
Published in PloS one (28-06-2023)“…Coverage and capacity are optimized in fifth generation (5G) networks by small base station (SBS) distribution in the coverage realm of macro base station…”
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5
Multi-region electricity demand prediction with ensemble deep neural networks
Published in PloS one (18-05-2023)“…Electricity consumption prediction plays a vital role in intelligent energy management systems, and it is essential for electricity power supply companies to…”
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6
Unusual Driver Behavior Detection in Videos Using Deep Learning Models
Published in Sensors (Basel, Switzerland) (28-12-2022)“…Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safety of drivers and passengers in vehicles. Road accidents…”
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7
Global horizontal irradiance prediction for renewable energy system in Najran and Riyadh
Published in AIP advances (01-03-2024)“…Producing and supplying energy efficiently are important for many countries. Using models to predict energy production can help reduce costs, improve…”
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Design and Experimental Analysis of Multiband Frequency Reconfigurable Antenna for 5G and Sub-6 GHz Wireless Communication
Published in Micromachines (Basel) (30-12-2020)“…A low-profile frequency reconfigurable monopole antenna operating in the microwave frequency band is presented in this paper. The proposed structure is printed…”
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An Optimal Delay Tolerant and Improved Data Collection Schema using AUVs for Underwater Wireless Sensor Networks
Published in IEEE access (01-01-2024)“…This paper presents two Elliptical Trajectories for Efficient Data-gathering and Delay-tolerant (TETD 2 ) routing schemes for Underwater Wireless Sensor…”
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10
A Comparison of Machine Learning Methods for the Diagnosis of Motor Faults Using Automated Spectral Feature Extraction Technique
Published in Journal of nondestructive evaluation (01-06-2022)“…Centrifugal pumps (CPs) are mainly composed of impeller and bearings. The operation of the CPs is disturbed if any of its components is faulty. Bearings faults…”
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11
Condition monitoring of water pump bearings using ensemble classifier
Published in Advances in mechanical engineering (01-03-2022)“…The bearings faults are reported to be the major reason for centrifugal pump (CPs) failures. Limited literature is available to diagnose the minor scratches in…”
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12
A Scalo gram-based CNN Ensemble Method with Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis
Published in IEEE access (01-01-2023)“…Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively…”
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13
Estimating the Standardized Precipitation Evapotranspiration Index Using Data-Driven Techniques: A Regional Study of Bangladesh
Published in Water (Basel) (01-06-2022)“…Drought prediction is the most effective way to mitigate drought impacts. The current study examined the ability of three renowned machine learning models,…”
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14
Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs
Published in IEEE access (2023)“…Bearing faults are critical in machinery; their early detection is vital to prevent costly breakdowns and ensure operational safety. This study presents a…”
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15
Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19
Published in International journal of environmental research and public health (16-03-2021)“…COVID-19 syndrome has extensively escalated worldwide with the induction of the year 2020 and has resulted in the illness of millions of people. COVID-19…”
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16
Enhancing fine retinal vessel segmentation: Morphological reconstruction and double thresholds filtering strategy
Published in PloS one (19-07-2023)“…Eye diseases such as diabetic retinopathy are progressive with various changes in the retinal vessels, and it is difficult to analyze the disease for future…”
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Ensemble learning approach for advanced metering infrastructure in future smart grids
Published in PloS one (18-10-2023)“…Typically, load forecasting models are trained in an offline setting and then used to generate predictions in an online setting. However, this approach, known…”
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18
An application to transient current signal based induction motor fault diagnosis of Fourier–Bessel expansion and simplified fuzzy ARTMAP
Published in Expert systems with applications (01-10-2013)“…•Propose a novel data driven-based framework for induction motor fault diagnosis.•Combine Fourier–Bessel expansion with GDA and SFAM.•Verify the proposed…”
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Automatic Detection of Outliers in Multi-Channel EMG Signals Using MFCC and SVM
Published in Intelligent automation and soft computing (2023)Get full text
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20
Numerical sensitivity analysis of temperature‐dependent reaction rate constants for optimized thermal conversion of high‐density plastic waste into combustible fuels
Published in Canadian journal of chemical engineering (01-10-2023)“…The use of experimental rate constants for producing a high yield of liquid fuels from the pyrolysis of plastic waste is not widely accepted owing to a lack of…”
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