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Surgical navigation systems can overlay medical images on the patients and help surgeons obtain surgical information in operations through motion tracking and fusion display. To improve the performance of display and accuracy of motion tracking of surgical navigation systems, this paper proposes an inertial-optical hybrid tracking system and a half-mirror based surgical navigation system. Extended...
In this paper the accuracies of synchrophasor estimates obtained by two real-valued Taylor-based Weighted Least Squares (TWLS) algorithms are compared when harmonically distorted sine-waves are analyzed. Both algorithms estimate the waveform frequency runtime and only the effect of 2nd harmonic on returned phasor estimates is considered. The first algorithm, called TWLS-RH(2), applies the classical...
Wind turbine is driven by natural wind, thus the vibration signal of gearbox is influenced and performs with nature of non-stationary and noisy. In order to analyze the variable speed signal, time-frequency representation is introduced as a powerful tool. The synchrosqueezing transform is a useful time-frequency representation method in many situation but can not restrain noise in high noise background...
A new kind of range image generation method based on mathematical morphology is proposed in this paper for complicated polyhedron in 3D space. In this method, laser points in point cloud of complicated polyhedron are firstly processed by gridding method. In procedure of processing, range values of laser points in grids are reasonably analyzed, and range image of laser points is acquired. Subsequently,...
Monitoring systems in distribution may account on sparse measurement infrastructure and therefore should be supported by robust state estimation techniques. The uncertainty of the estimated states depends, also, on the speed at which voltage magnitude and phase angle may change. In fact distribution systems include several components that in presence of high voltage oscillation react with variations...
Several applications require a distributed measurement system able to measure the same or different parameters at different points in a wide area. In recent years, a wide variety of solutions have been proposed for the remote measurement and data transmission. In this paper an architecture of a real-time energy management is presented. It provides several Smart Meters, that continuously monitor connected...
Applications like electrical capacitance tomography (ECT) rely on capacitance measurements with a good signal to noise ratio. In Low-Z measurement circuitry the measurement frequency can be directly used to increase the signal amplitudes. Simple front-end circuit models consider the behavior of all components by means of lumped capacitors. However, for higher system frequencies and long instrumentation...
The monitoring of glucose fluctuation and glucose tolerance is necessary for diabetes patients in their daily life. Most of the commercial glucose meters need to prick the finger with a small wound that raising the concern of pain and infection. The human blood is the low glucose concentration solution (<< 100 mmol/L). As the oxygen saturation in the blood decreases, the glucose concentration...
A large number of electric vehicles (EVs) connected to the grid increase the load of the grid, which may lead to the problems, such as overload, frequency violation and voltage violation. However, the EVs have potential for providing services for the grid, such as voltage regulation and frequency regulation. In this paper, we use the EVs to regulate the voltage of the smart grid and propose an algorithm...
Based on the transit-time ultrasonic gas flowrate measurement principle and the model-fitting method, a model-based Time-of-Flight measurement method is proposed. A single acoustic path ultrasonic gas flow measurement system is developed and an empirical model of the ultrasonic detection signal is established. The least-squares curve fitting criterion and the modified steepest descent method are introduced...
In air/oil lubrication system, the flow regime and oil film thickness are significant for lubrication efficiency and can only be monitored online. Electrical capacitance tomography (ECT) provides a promising strategy for monitoring air/oil two phase flow in the pipelines by reconstructing cross sectional oil distributions with good real-time performance. While the low spatial resolution of ECT reconstructions...
A label-free non-invasive sensing system for detection of C-terminal telopeptide of type-I collagen (CTX-I) has been developed in order to detect bone loss at an early stage, by Electrochemical Impedance Spectroscopy (EIS). A planar interdigital sensor was functionalized by immobilizing streptavidin agarose on the sensing area of the sensor to introduce selectivity for the antigen-antibody solution...
The impact of photovoltaic (PV) energy has grown rapidly in the last years; both the scientific community and the industry have focused its attention on improving the efficiency of PV modules while decreasing their cost. In order to ensure best performance, PV panels have to work at the Maximum Power Point (MPP) of their V-I curve. As the MPP depends on the environmental conditions, an algorithm to...
This paper deals with a noninvasive calibration system of current transformers in electrical power systems. The proposed system requires precise current sensors located on the primary and the secondary side of the transformer. Current sensors were designed as current transformers with a nanocrystalline magnetic core. The nanocrystalline magnetic materials can reach higher permeability and sufficiently...
Structural health monitoring (SHM) is important to the infrastructure and transportation industries. SHM is often performed nondestructively, and a number of testing modalities including microwave nondestructive testing (NDT) have been successfully used to accomplish this goal. Within the realm of microwave NDT, sensors based on frequency selective surface (FSS) principles have found application for...
Feature selection is critical to the success of machine fault intelligent diagnosis. However, different feature extraction methods may lead to different diagnostic results. It increases the difficulty in feature selection as well as the diagnostic uncertainty. A deep belief network (DBN), composed of multiple layers of Restricted Boltzmann machine (RBM), is one of the typical deep learning methods,...
In order to improve the precision and anti-interference ability of traditional proton magnetometer, and provide reference basis for developing Overhauser magnetometer, a high precision proton magnetometer based on a multi-channel frequency measurement was designed. This paper introduces the basic principle of larmor precession effect, makes a detailed description about the signal disposal system and...
The measurement of the operating deflection shape (ODS) of power transmission belts is of great importance for the fault diagnosis and prognosis of industrial belt drive systems. This paper presents a novel method based on an electrostatic sensor array to measure the ODS of a belt moving both axially and transversely. Finite element simulations are performed to study the sensing characteristics of...
A Direct Digitizer suitable for Giant magneto-resistive (GMR) sensors is proposed in this paper. The proffered digitizer integrates a GMR sensor, in the form of a full-bridge, with a novel circuit based on enhanced dual-slope technique and obtains a linear digital indication of the magnetic field being measured. The scheme does not use a separate ADC for digitization. A detailed mathematical methodology...
Propagation constant characterization plays a key role in various microwave measurement situations such as thru-reflect-line (TRL) calibration, interconnect characterization, fixture de-embedding and measurement of material properties. To differentiate the forward and backward propagating factors, sign-ambiguity problem of square-root searching is inevitable in the process of characterizing the eigenvalue...
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