- Chaos control and synchronization
- Water Systems and Optimization
- Underwater Acoustics Research
- Blind Source Separation Techniques
- Flow Measurement and Analysis
- High voltage insulation and dielectric phenomena
- Underwater Vehicles and Communication Systems
- Power Transformer Diagnostics and Insulation
- Nonlinear Dynamics and Pattern Formation
- Radar Systems and Signal Processing
- Wireless Signal Modulation Classification
- Power Quality and Harmonics
- Speech and Audio Processing
- Machine Fault Diagnosis Techniques
- Lightning and Electromagnetic Phenomena
- Indoor and Outdoor Localization Technologies
- Full-Duplex Wireless Communications
- Complex Systems and Time Series Analysis
- Structural Health Monitoring Techniques
- Neural Networks and Applications
- Advanced Electrical Measurement Techniques
- Geophysical Methods and Applications
- Electrical Fault Detection and Protection
- Fractal and DNA sequence analysis
- UAV Applications and Optimization
Military Technical Academy
2016-2025
Altran (France)
2021-2025
Grenoble Images Parole Signal Automatique
2013-2022
Institut polytechnique de Grenoble
2014-2022
Institut de Microélectronique, Electromagnétisme et Photonique
2022
Université Grenoble Alpes
2015-2021
University of Eastern Finland
2019
Université de Nîmes
2015
This paper describes an original imaging technique, named Locadiff, that benefits from the diffuse effect of ultrasound waves in concrete to detect and locate mechanical changes associated with opening pre-existing cracks, and/or development damage at tip crack. After giving a brief overview theoretical model describe decorrelation waveforms induced by local change, article introduces inversion procedure produces three dimensional maps density changes. These are interpreted terms changes,...
Abstract With the development of power distribution systems demands, grid reliability becomes a strategic issue. Continuous monitoring transmission networks is key component in addressing this Partial discharge (PD) characterisation instruments provide reliable solution and an important indicator state cable insulation. An increase PD level usually indicates fault that affects integrity can lead to various problems related quality quantity transmitted energy. In context, use Internet Things...
Nowadays, unmanned aerial vehicles/drones are involved in a continuously growing number of security incidents. Therefore, the research interest drone versus human movement detection and characterization is justified by fact that such devices represent potential threat for indoor/office intrusion, while normally, presence allowed after passing several points. Our paper comparatively characterizes an indoor environment. The map was obtained using advanced signal processing methods as wavelet...
Renewable energy is becoming an important way to generate with a much smaller impact on the global environment. Wind power one of most prevalent renewable forms and gaining popularity globally. Offshore wind cables are usually burned deep in sea bottom accurate fault detection localization, very ensure reliability supply, difficult. For this reason, maintenance diagnostic cable systems tasks order reduce cost increase security, quality electricity supplied from offshore generation systems....
Military heavy vehicle drivers experience low-frequency vibrations that are associated with fatigue, drowsiness, and other adverse health effects. The existing research papers focus on performing different types of analysis, but few use advance signal processing tools based recurrence plot representation; therefore, the main goal this paper is to assess whole-body vibration (WBV) hand-arm (HAV) exposure a driver, comparing armoured personnel carriers cargo destined vehicles. For purpose,...
In this study, we present the implementation of a neural network model capable classifying radio frequency identification (RFID) tags based on their electromagnetic (EM) signature for authentication applications. One important application chipless RFID addresses counterfeiting threat manufacturers. The goal is to design and implement that possess unique unclonable fingerprint authenticate objects. As EM characteristics are employed, these fingerprints cannot be easily spoofed. A set 18...
This paper presents two methods applied in the context of surveilling and localizing electrical arcs which usually occur photovoltaic power systems. The wavelet analysis has proved to be very powerful transient signal detection, namely multiscale edge thereby we use this method detect localize them time. Secondly, recurrence plot (RPA) presented succesful results partial discharge time localization. In order obtain space localization arc, used time-of-arrival arc at acoustic sensor system....
In the last years, commercial drone/unmanned aerial vehicles market has grown due to their technological performances (provided by multiple onboard available sensors), low price, and ease of use. Being very attractive for an increasing number applications, presence represents a major issue public or classified areas with special status, because rising incidents. Our paper proposes new approach drone movement detection characterization based on ultra-wide band (UWB) sensing system advanced...
A suitable metric to describe human exposure microwaves emitted by wireless communication devices is still incomplete. By using both theoretical analysis and experimental validation (in controlled real deployed networks), we analyze compare the specificity of due data transmissions in different configurations fourth fifth generation fidelity (Wi-Fi) standards proximity a mobile device. Measurements made use capability amplitude probability density incorporated real-time spectrum analyzer,...
This paper presents several methods applied for the detection and localization of electrical arcs measured while survelling photovoltaic power systems. Firstly, we proposed use energy detectors transients (spectrogram wavelet) compared them with statistical (Maximum Likelihood Estimation (MLE)), classical signal processing (Matched Filter, Zero Crossing), but not lastly a more recent method, Recurrence Plot Analysis (RPA), which has already proved its efficiency. Afterward, studied precision...
Transient signals are found in many areas of interest, where they provide information about the analyzed system. One these is given by power engineering applications. The predictive maintenance electrical infrastructures based on study and characterization partial discharge activities. Detecting phenomena a complicated task currently there various theoretical practical studies designed to deal with discharges. Despite approaches proposed, no precise method describing this phenomenon. Thus,...
Next-generation wireless systems are expected to enable both high data rates and a significant increase in the number of connected devices. The emerging in-band-full-duplex approach is one most promising solutions address these constraints, as it allows simultaneous transmission reception same frequency band, along with spectral efficiency double throughput. However, since full-duplex suffer from severe self-interference, appropriate cancellation techniques still under development. In this...
The difficulties of predictive maintenance power grids are related to the large spread electrical infrastructures and definition early warning indicators. Such indicator is partial discharge activities—which can be very informative about rising insulation problems materials. However, detection localization discharges complicate tasks currently subject intensive studies in both theoretical practical domains. traditional way approach global surveillance sources first detect it second attempt...
In this paper we approach the challenges of partial discharges (PD) detection in high voltage cables using signal processing techniques based on time frequency methods combined with Recurrence Plot Analysis (RPA) and order spectrum analysis (HOSA). Detection PD poses many problems terms speed calculation, selection criteria multitude causes which lead to occurrence PD. overcome these drawbacks, have developed an algorithm uses spectrogram perform a fast parts from are susceptible activity....
Electrical transmission lines are the most significant part of a power systems in terms their spread and length with respect other components. With huge development due to growing demand, network losses an issue that needs permanent attention providers distributors. The difficulties predictive maintenance grids related detection early warning indicators weaknesses electrical cables. These might be defined by partial discharges, corona effects, arcs, all these phenomena being characterized...
The paper presents an acoustic signal processing approach for the surveillance of a water pipe and characterization hammer effect. experiment is based on ultrasonic transceivers validation made with pressure sensors. major objective to quantify variation into using non-intrusive method. Therefore, speed transient was determined making use time-of-flight (TOF) which obtained Recurrence Plot Analysis (RPA). Several comparisons between classical techniques highlight advantage
Monitoring highly dynamic environments is a difficult task when the changes within systems require high speed monitoring systems. An active sensing system has to solve problem of overlapped responses coming from different parts surveyed environment. Thus, need new representation space which separates responses, mandatory. This paper describes two concepts for On emitter side, we propose phase-space-based waveform design that presents unique shape in phase space, can be easily converted into...
This paper presents a new technique for acoustic transducers position offset compensation, based on compressive sensing reconstruction in the warped domain. In underwater acoustics, relative is important applications involving direction of arrival estimation, localization or source detection. When transmitter-receiver configuration inappropriate, received signal's informational content not same as one emitted signal. case such objects tracking, experimental setup constraints and water flow...