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The high penetration of Wind Turbine (WT) in the grid is a promising solution to increase the electricity production with renewable energies. In this work, we propose a data-driven methodology for dip voltage fault detection and diagnosis. From experimental measurements the current vector trajectory deformation in the (αβ) reference frame is derived and a statistical-based analysis (first four statistical...
In this paper, we propose line current sensor fault detection for AC drives. The method is based on the measured currents and the features are extracted either in the natural reference frame or in the transformed Park synchronous rotating frame. The features are the first four statistical moments or the Kullback Leibler Divergence (KLD) of the Probability Density Functions (PDF). For offset fault,...
This paper addresses the estimation of a permanent magnet synchronous machine mechanical position and speed estimation at low speed and standstill. The method is based on the injection of an additive voltage at High Frequency (HF), which exploits the position dependency to the magnetic saliency. Unlike the usual HFI method, this estimator has a simple structure with only one filter. The simulation...
In this paper, a current sensor fault estimation using the transformed currents in the Park synchronous rotating frame is proposed. We show that from an analytical model, the fault characteristics can be retrieved. From experimental raw data collected from a Permanent Magnet Synchronous Machine drive, the gain or offset fault characteristics (amplitude and frequency) have been estimated with an average...
Process-history based methods are very commonly used for fault diagnosis and detection. However their efficiency is closely related to the quality of the measured data. In noisy environments, they usually fail particularly for incipient faults. This paper is an attempt to determine an analytical model allowing to estimate a theoretical threshold for fault detection based on the Fault to Noise Ratio...
In applications to secured diffusion of digital images, several watermarking solutions have been studied in the field of Data Hiding. For this aim, the main idea consists in embedding an information in the digital media with good properties in terms of robustness, capacity and invisibility (perceptual transparency and statistical undetectability). Recent studies has highlighted the importance of statistical...
The Spread Transform (ST) robustness facing a Temporal Frame Averaging (TFA) is studied in this paper. Our analysis provides new insights on the effect of the TFA attack in the context of video watermarking when the ST is used. To remove the interferences and the attenuation of the watermark caused by the TFA attack, an adaptation of the Spread Transform is proposed. Our solution is based on the embedding...
In this paper, security evaluation of an important watermarking class based on quantization is given. Theoretical developments and practical simulations are used to measure the security level of watermarking techniques. We give the contribution of each observation available to the attacker on the total gathered information about the watermarking secrecy. By leading on watermarking technique weaknesses,...
This article presents a brief review on non-blind and blind spread spectrum (SS) watermarking developed for multimedia signals. The discussion gradually moves from zero-rate embedding to high payload and variable embedding systems that take into consideration the issues of host signal interference rejection, payload problem and decoder structure robust to non-stationary fading like attack. The algorithms...
This paper proposes a scheme that integrates error concealment and quality access control of digital image(s) in a single platform. The objective is achieved by embedding some important information extracted from the original image itself, to introduce sufficient redundancy in the transmitted image. The data embedding is done by modulating integer wavelet coefficients using quantization index modulation...
The quantization based embedding systems are usually used in the information hiding domain, thanks to their efficiency and simplicity. In other hand, they are known to be insecure in steganography context (according to Cachins' security definition) because they distort the stego-signal density function. In this paper, we show that an important kind of quantization based systems (those resulting from...
In this paper, we studied the performances of the well known side information watermarking scheme, Scalar Costa Scheme (SCS), in independent domain. We have used the Independent Component Analysis (ICA) to insert and extract the message. Thus, we improve the performances compromise of the original SCS scheme in terms of robustness, capacity, and undetectability. In our study, we also compare the obtained...
Several authors have studied stego-systems based on Costa scheme, but just a few ones gave both theoretical and experimental justifications of these schemes performance in an active warden context. We provide in this paper a steganographic and comparative study of three informed stego-systems in active warden context: scalar Costa scheme, trellis-coded quantization and spread transform scalar sosta...
The steganographic security in the Cachin's work is defined as the statistical invisibility between the host signal and its marked version. At contrary, the robustness to an attack is not a prime goal. In robust watermarking, this is exactly the inverse. The scalar costa scheme (SCS) is a typical example of this fact. Indeed, this scheme is robust to additive white Gaussian noise (AWGN) attack but...
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