Search Results - "El Badaoui, Mohamed"
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1
Machine Learning Algorithm for Gait Analysis and Classification on Early Detection of Parkinson
Published in IEEE sensors letters (01-06-2020)“…Gait analysis using kinetic data such as pressure distribution underneath the foot has been a topic of interest for assessing falls in elderly and certain…”
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Journal Article -
2
Hidden Markov Models for the Prediction of Impending Faults
Published in IEEE transactions on industrial electronics (1982) (01-05-2016)“…Reliability and safety are two important concepts in industrial applications. Thus, the development of monitoring tools, which are able to ensure the…”
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3
Chatter detection in milling machines by neural network classification and feature selection
Published in Journal of Vibration and Control (01-05-2015)“…In modern industry, milling is an important tool when a high material removal rate is required. Chatter detection in this situation is a crucial step for…”
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Book Review Journal Article -
4
Huberian approach for reduced order ARMA modeling of neurodegenerative disorder signal
Published in Signal processing (01-08-2015)“…The purpose of this paper is to address the question of the existence of auto regressive moving average (ARMA) models with reduced order for neurodegenerative…”
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5
A New Time Frequency Based Indicator for Planet Gears Anisotropy in Planetary Gearbox
Published in 2023 International Symposium on Signals, Circuits and Systems (ISSCS) (13-07-2023)“…Analyzing the vibration signals of planetary gearboxes has become critical for preventing failures. However, due to the complex mechanical kinematics and…”
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Conference Proceeding -
6
Fall Risk Assessment Using Pressure Insole Sensors and Convolutional Neural Networks
Published in 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (07-12-2022)“…Falls prevention among the elderly community is regarded as one of the most critical public health topics in today's aging society. Identifying the risk of…”
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Conference Proceeding -
7
On the Use of Structured Prior Models for Bayesian Compressive Sensing of Modulated Signals
Published in Applied sciences (01-03-2021)“…The compressive sensing (CS) of mechanical signals is an emerging research topic for remote condition monitoring. The signals generated by machines are mostly…”
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8
Comparison between the efficiency of L.M.D and E.M.D algorithms for early detection of gear defects
Published in Mechanics & industry : an international journal on mechanical sciences and engineering applications (01-01-2013)“…In recent years, the adaptive decomposition methods have become the center of interest of researchers in many fields and especially in the vibration diagnosis…”
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9
Detection of Bearing Damage Using Stator Current, and Voltage to Cancel Electrical Noise
Published in EURASIP journal on advances in signal processing (22-02-2011)“…This paper investigates the detection of a bearing defect in an asynchronous machine by analysing the electric signals. For this purpose, it is considered that…”
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Journal Article -
10
Impact Machine Learning Classification And Technical Indicators, Forecast The Direction Of Bitcoin
Published in 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA) (22-11-2023)“…This study assesses the effectiveness of machine learning (ML) models in predicting fluctuations in the direction of Bitcoin prices using conventional…”
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Conference Proceeding -
11
Application of the cyclostationairity for the cutting tool diagnosis
Published in Mechanics & industry : an international journal on mechanical sciences and engineering applications (01-01-2014)“…This work is interested to the analysis of the vibratory signals coming from a milling operation. The objective is the detection of cutting tool breakage using…”
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Journal Article -
12
Detection of Bearing Damage Using Stator Current, and Voltage to Cancel Electrical Noise
Published in EURASIP journal on advances in signal processing (01-01-2011)“…This paper investigates the detection of a bearing defect in an asynchronous machine by analysing the electric signals. For this purpose, it is considered that…”
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Journal Article -
13
Gear faults diagnosis based on the geometric indicators of electrical signals in three-phase induction motors
Published in Mechanism and machine theory (01-08-2019)“…•Successfully combining the Motor Current Signature Analysis, the geometrical patterns of Frenet-Serret properties and the Park / Concordia transforms with…”
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14
Cyclostationary modeling of ground reaction force signals
Published in Signal processing (01-04-2010)“…The importance of the measurement of human locomotion for the processes of diagnosis and treatment of locomotion disorders is increasingly being recognized…”
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Journal Article -
15
Human Locomotion in Multiway Analysis
Published in 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART) (01-04-2019)“…Human movement ecology still lacks the fundamental principles of the locomotion paradigm. The intelligence embedded into the muscles of our legs allow us to…”
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Conference Proceeding -
16
Leg-specific separation of running vertical ground reaction force signals
Published in 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME) (01-10-2017)“…In this paper, we propose guidelines and techniques for optimally handling Vertical Ground Reaction Force (VGRF) signals acquired during running. For that…”
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Conference Proceeding -
17
Vertical ground reaction force spectral analysis for fatigue assessment
Published in 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME) (01-10-2017)“…In this paper, we propose a novel fatigue assessment technique using Vertical Ground Reaction Force (VGRF) signals acquired during ultra-marathon running. To…”
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Conference Proceeding -
18
A modified filtering model of VGRF gait signals
Published in 2017 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART) (01-08-2017)“…In order to understand the movement ecology of species, preprocessing is considered a fundamental step to in treating any signal contaminated with noise. Thus…”
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Conference Proceeding -
19
Indicators for monitoring chatter in milling based on instantaneous angular speeds
Published in Mechanical systems and signal processing (20-02-2014)“…The detection of chatter is crucial in the machining process and its monitoring is a key issue to ensure a better surface quality, to increase productivity and…”
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Journal Article -
20
Bootstrap for almost cyclostationary processes with jitter effect
Published in Digital signal processing (01-02-2018)“…In this paper we consider almost cyclostationary processes with jitter effect. We propose a bootstrap approach based on the Moving Block Bootstrap method to…”
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