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Smart Grid (SG) can be defined as a modern electric power grid infrastructure for improved efficiency, reliability and safety, with smooth integration of renewable and alternative energy sources, through automated control and modern communications technologies. The increased need for more effective control on electrical power systems has led to the development and the increased research interest on...
A method for crosstalk detection and removal in multichannel time-of-arrival measurement systems is proposed. The method, based on low-complexity processing of cross-correlation results, is evaluated by numerical simulations and experimental characterization. Results show the capability to detect and remove crosstalk by processing the signals acquired by two mutually-interfering electrical channels...
Accurate positioning of objects within an indoor environment is essential for applications such as virtual reality, robotics and multirotor drones. Previous methods of obtaining six-degrees-of-freedom for a tracked object have been susceptible to latency and accumulated error, computationally intensive, inaccurate, costly, or required exotic components, setups and calibration procedures. This paper...
Acute haemolysis in haemodialysis is a relatively rare complication, but it can lead to life-threatening issues up to the death of the patient. Due to the lack of measurement methods able to provide a realtime and in-line measurement of the haemolysis in extracorporeal circulation, in current medical practice the haemolysis level is not monitored during haemodialysis. In last two years we proposed...
A sparse Electromagnetic Tomography (EMT) system based on Matching Pursuit (MP) algorithms is introduced in this paper. The sparse EMT problem with a linear model is essentially a pursuit for the sparse representation of the spatial conductivity. The framework of sparse representation theory is adopted for the EMT problem. Such notations as spark and mutual-coherence are introduced as tools in the...
In this manuscript, a coin recognition system based on texture classification of the coin image is proposed. The proposed system consists of the training phase and the testing phase. In the training phase, the proposed system first identify the coin position in the image based on the generalized Hough transform. When the position is identified, the proposed system extract texture features of the coin...
Data fusion enables the integration of multiple sensing data associated with the same physical process for more comprehensive process representation, thereby improving quality control in manufacturing. Based on a correlation analysis of measurement data, the effectiveness of data fusion has been investigated, using precision injection moulding as an application context and the predicted weight of...
Sensors are required to determine the particle size of granular materials in a variety of industries such as energy, chemical manufacturing and food processing. The importance of accurately monitoring the particle size is essential in quality control in these industrial sectors. This paper presents the use of a custom made piezoelectric PVDF film transducer that is capable of determining the particle...
It is a challenging problem to find sufficiently sparse approximation dictionaries tailed to machine vibration signals with different failure modes. Therefore, this paper describes and analyzes a novel tight frame learning scheme for machine fault diagnosis. The objective cost is evolved by integrating the tight frame constraint into the popular dictionary learning model. The resulting tight frame...
Atmospheric ice accretion is a natural phenomenon in cold climate regions. On overhead transmission lines, the ice load can cause severe damage and can cause critical situations for those relying on this infrastructure. Even fatal casualties have been documented due to the lapse of transmission lines. Capacitive sensing has been reported a feasible approach for detecting ice accretion events and autonomous...
With increasing demand for accurate fault diagnosis of induction motors, traditional methods based on single parameter need amelioration. In this paper, an effective and practical induction motor fault diagnosis algorithm is proposed based on adaptive weighted voting multiple random forest classifiers. Firstly, the vibration signals and stator current signals are obtained and analyzed. The energy...
This paper presents the application of a fast two-step multi-area approach for state estimation in wide-area distribution systems. The possibility to perform Distribution System State Estimation (DSSE) in a multi-area framework, designing the methodology according to the configuration of the measurement infrastructure is assessed. In particular, the proposed methodology of multi-area DSSE considers...
Hybrid imaging techniques utilizing couplings of physical modalities have attracted considerable attention in recent years. Based on the acousto-electric effect, ultrasound modulated electrical impedance tomography (UMEIT) is proposed as a new hybrid imaging technique, which combines the electric and acoustic modalities. Sensitivity matrix for UMEIT is investigated for the first time to explore the...
Analyzing EEG (electroencephalograph) signal is one of the most important methods of mental fatigue classification. Previous studies mainly describe the EEG features they use, however, the process of selecting features has not been synthetically researched. This study proposes the weighted-normalized mutual information feature selection (W-NMIFS) method to select features. W-NMIFS criterion optimizes...
A microwave dual waveguide sensor system has been proposed and applied for the measurement of gap between concrete and metal surfaces. The system includes two rectangular waveguides embedded in a metal plate and opened in a concrete member to create a dual waveguide sensor arrangement, transceiver that generates, transmits and receives microwave signals using the dual sensor, and a measurement unit...
As a non-destructive testing method, pulsed eddy current has certain advantages in hidden defect detection problems. A C-Scan imaging method based on LabVIEW is proposed in this paper and defect evaluation is carried out. In defect evaluation, a profile detection algorithm based on Canny operator is applied. The characterization of depth and shape of defects is studied. Experimental results show that...
This paper proposes a new flight control method of UAV (Unmanned Aerial Vehicle) using LED panels and video camera on UAV. In this method, the LED panel displays some patterns related to commands for UAV, and it also displays a blinking pattern for panel detection. From images of video camera on UAV, first, a panel detection process is performed. In this process, the frequency of green blinking is...
In this paper, we proposed a imitated light field image architecture based on Haar discrete wavelet transform for light field instrument. We can get different characteristic from subband images by using discrete wavelet transform (DWT) decomposition. Each subband contains different energy and edge type. The image is composed of many subbands by using high-order discrete wavelet transform and makes...
Image reconstruction in Electrical Resistance Tomography (ERT) is a nonlinear and ill-posed inverse problem. The standard Tikhonov regularization method is always used to solve the ERT problem. However, in Tikhonov method, to guarantee the optimization problem have a solution, usually the regularization parameter matrix always is composed of diagonal matrix, and all the diagonal elements in the matrix...
Self-mixing interferometer allows to realize different kind of measuring systems, especially vibrometers. This work describes the design and implementation of a digital feedback-loop, acting on the laser pump current, able to lock the interferometer to half-fringe, and to measure the target vibration by estimating the feedback error signal. The digital approach allows to overcome some problems of...
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