Remote Diagnostics Research Articles

Principles of Formation of a Vehicle’s Remote Diagnostics

Complex of remote diagnostics and control of an automobile’s nodes enables to remotely control the state of vehicle’s nodes and diagnose malfunctions; control ecological norms and compliance with traffic regulations. Its implementation will allow diagnostics of intermittent malfunctions due to application of the proposed methods of remote diagnostics of an automobile’s nodes as well as to reduce terms of diagnostics significantly due to application of intellectual system of malfunctions detection and due to possibility to control parameters in real time mode. Implementation of the complex will cut unforeseen idle time of vehicles due to preventive control of the tendencies in nodes parameters changes, and due to executing modern repair or replacement of nodes and units. The complex grants safe local and remote access to data and reports by using WebPortal and VPN technologies with possibility to appoint personal right to every user. Due to application of the elaborated methods and the complex that implements it, one can achieve high rate of economic efficiency due to collection of statistic information under conditions of actual exploitation, diagnostics of emerging malfunctions of various difficulty degrees, and making necessary corrections in the structure of an automobile’s nodes prior to serial production launch.

КОНТРОЛЬ І МОДЕЛЮВАННЯ ПАРАМЕТРІВ ДЛЯ ТЕПЛОВОЇ ДІАГНОСТИКИ ПОРУШЕНЬ СИЛОВОГО ЕЛЕКТРООБЛАДНАННЯ

It has been considered the heat processes of traction electric engines parts in the maintenance and possible ways of heat generation modeling, which intensity is interconnected with operating physical quantities and possible components failure of traction electric drives in urban electric transport. The reasonable choice of input parameters, which control is possible with the help of remote techniques, located outside the mobile vehicle, was used in the development of pilot plant. By means of experimental equipment set containing electromechanical device in the form of a traction drive and brake, means for setting, regulation and control of technological input values and experimental device for measuring heating temperature electric engine with a given accuracy, it was realized the prepared experiment plan, implemented the variation of thermal processes in possible duty cycles of traction power equipment occurring on real urban routes. By means of differential electronic transducer “temperature-frequency” (T–F), the results of changing output ordinate were recorded and used in polynomial modeling of heating process in electric engine. The regression second order model, describing the thermal process, a spectral analyzer for record and visual control of output ordinate, were used for studying heat generation in laboratory-like environments and for evaluating the possibility of using standard and experimental control device for real traction substations of urban electric transport during remote technical diagnostics equipment according to its heating temperature. Using experimental differential electronic transducer T–F with a modulator and short mathematical description of heating process of traction electric drive allow to identify thermal processes with using of computing tools, which are different in few resources. It has been considered hardware-based ways to achieve the desired measuring set accuracy of the output ordinate and a program solution variant of the spectral low-frequency signal analyzer, which realization is possible by means of popular microcontrollers. The results have confirmed the appropriateness of studying thermal processes in electrical equipment and devices for synthesis of local compact remote equipment, which allows to create technical diagnostics devices and neural networks for possible failures evaluation, determined by the heat gradient in parts of power equipment of urban electric vehicles, operated on various routes and in different conditions.

Effect of partial discharges on the operating condition of high-voltage insulators

The features of the dielectric rod defects and the rod-electrod defects of polymer insulators were investigated by using the developed complex method of contactless remote diagnostics of high-voltage insulators health, which includes the initial detection of local areas with elevated electric field gradients as well as measurement of a set of partial discharges characteristics. The radiation of extra-large partial discharges was detected and partial discharges features were investigated. According to the measurement results, a diagram was constructed for the electro-physical processes that accompany the emission of extra-large partial discharges; and the reasons for their occurrence were established.

Improvement of the technical excellence of multiparameter relay protection by combining the signals of the measuring fault detectors using artificial intelligence methods

The features of the dielectric rod defects and the rod-electrod defects of polymer insulators were investigated by using the developed complex method of contactless remote diagnostics of high-voltage insulators health, which includes the initial detection of local areas with elevated electric field gradients as well as measurement of a set of partial discharges characteristics. The radiation of extra-large partial discharges was detected and partial discharges features were investigated. According to the measurement results, a diagram was constructed for the electro-physical processes that accompany the emission of extra-large partial discharges; and the reasons for their occurrence were established.

Operational experience of a Solar Power Plant with a Dual-Axis Solar Tracking System in the conditions of the Southern Urals

The paper substantiates the need for the introduction of solar tracking systems for photovoltaic plants and presents a brief review of the scientific and technical literature on the development of solar trackers. Principal scheme of a heliostation with a dual-axis solar tracker of Orenburg State University has been designed. A comparative analysis of the generated electricity by a statically located solar module and a solar module with the dual-axis solar tracker is represented. Data for analysis have been obtained in Orenburg (Russia) using the developed automated system for remote diagnostics and monitoring of photovoltaic system parameters and a wireless weather station HP2000. The use of a dual-axis heliotracker for the solar plant in the conditions of the Southern Urals has allowed to increase the generation of electricity by 34.7% compared to a statically located PV panel.

Comparative analysis of options for project financing of energy development based on renewable sources

The features of the dielectric rod defects and the rod-electrod defects of polymer insulators were investigated by using the developed complex method of contactless remote diagnostics of high-voltage insulators health, which includes the initial detection of local areas with elevated electric field gradients as well as measurement of a set of partial discharges characteristics. The radiation of extra-large partial discharges was detected and partial discharges features were investigated. According to the measurement results, a diagram was constructed for the electro-physical processes that accompany the emission of extra-large partial discharges; and the reasons for their occurrence were established.

Concept and design of a compact laser system for remote measurements by the method of laser-induced breakdown spectroscopy

A compact laser system based on a Nd: YAG laser with a wavefront self-reversal for remote analysis of substances by laser-induced breakdown spectroscopy at a distance of at least 10 m is proposed. The possibility of creating a reliable system for remote diagnostics of materials by laser-spark emission spectroscopy, including in real time, is shown.

Algorithms structural and parametric synthesis of remote control and diagnostics systems of mobile measuring points

With the help of the general and structurally-information schemes of remote control, an analysis was made in the course of which the requirements for protection against unauthorized access of the complex system were clarified and established. In the article structural features of the remote control system of mobile measuring points of rocket and space equipment are considered. These features are represented by the requirements for information protection, as well as the operating modes of this system. The list of these regimes was obtained as a result of studies of structural and functional schemes of a remote control system for mobile measuring points.

On the way to creating a professional portal – “International internet school for parents”

The article demonstrates the prospectivity of the professional remote education for parents in the International internet school for parents (baby-inform.com) created by the All-Russian Public Organization “Union of Women-Doctors of Russia” (the member of the World Association of Women-Doctors). The project includes “School of the future parents for antenatal clinics” and the “Room of a healthy child for children’s clinics”. For the first time in Russia there was tested the remote screening diagnostics of the development of children from 2 to 16 months in Moscow (n=545) using the Internet version of the KID-survey via the “Internet school”. 21.84% of children had a developmental lag, 48.62% had general development corresponded to the age, and 29.54% of children were ahead of the age indicators. The highest percentage of children with developmental lag wasfound in the areas “self-service” (23.85%) and “motor development” (23.3%) as compared to “speech development” (20.73%), “cognitive development” (20.55%) and “social” (19.48%). The implementation of Internet-School has been begun in the Far East.Conflict of interest: The author of this article confirmed the lack of conflict of interest and financial support, which should be reported.

The System of Automatic Visual Recognition of Meter Indications

The system for automatic remote reading of meter indications is suggested. Two existing alternative solutions of the system implementation are considered. The main drawback of both solutions is specified, which particularly consists in the necessity of using of the specialized meters. The proposed system, in contrast, is universal, does not require meter replacement, has high reliability due to the absence of moving parts, and permits manual remote diagnostics. The general structure of the proposed system is described. It consists of primary reading device, based on a low-cost videosensor, a microcontroller and a wireless data transmission module, as well as the receiver (server part) with optical recognition software. The software component is considered in more details. Specifically, it is suggested to be implemented using the two-stage procedure. In the first stage, the meter scale is detected and partitioned into separate digit positions. The search of meter scale is proposed to be implemented using the Hough transform, which performs the lines location. Since the Hough transform, which takes binary images as an input is employed, the Canny edge detection algorithm is supposed to be applied first. The meter scale detection is based on the location of lines that forms a rectangular region with specific proportions. When the detection of the scale is performed, the located region is segmented into a separate digit subregions using the binary morphological operations and connected components analysis. The described process is applied relatively seldom (usually when the primary reading device is (re)installed), thus the operator of the system may manually correct the results of the detection and segmentation (these results will be valid for the further use). It reduces the quality requirements for the results, which obtained in the first stage. In the second stage, the recognition of each digit is performed. For these purposes, the use of convolutional neural network is suggested. This network is based on the architecture similar to the LeNet: it operates on small grayscale images and has seven layers (three convolutional, two max pooling, one ReLU and one fully connected layer). The training of network was performed on a specially composed training set. The training itself was conducted using the standard stochastic gradient descent (SGD) with momentum. The “softmax” was used as the loss function. In the result of the training, the correct digit recognition rate in 99,2% is achieved.Ref. 16, fig. 6.

Fast Denoising Filter for MRI using Parallel Approach

Real time medical image processing is necessary in the domain of remote medical care, diagnostics and surgery. To provide fast MRI diagnostics especially for neuro imaging, the research work proposes CUDA GPU based fast denoising filter with a parallel approach. Bilateral filter is the most suitable candidate for denoising, as it has unique ability to retain contours of soft tissue structures of the brain. The work proposes improvised memory optimization techniques for the GPU implementation to achieve superior performance in terms of speed up when compared with existing work. For a 64Megapixel brain MR image, shared memory approach gives speed up of 256.5 while texture memory usage with tiling approach stands the next in speedup with 42.16 over its CPU counterpart. The results indicate that in spite of increase in image size, the execution time of the filter does not increase beyond 500msec keeping the performance real time.

Private Evaluation of Decision Trees using Sublinear Cost

Abstract Decision trees are widespread machine learning models used for data classification and have many applications in areas such as healthcare, remote diagnostics, spam filtering, etc. In this paper, we address the problem of privately evaluating a decision tree on private data. In this scenario, the server holds a private decision tree model and the client wants to classify its private attribute vector using the server’s private model. The goal is to obtain the classification while preserving the privacy of both – the decision tree and the client input. After the computation, only the classification result is revealed to the client, while nothing is revealed to the server. Many existing protocols require a constant number of rounds. However, some of these protocols perform as many comparisons as there are decision nodes in the entire tree and others transform the whole plaintext decision tree into an oblivious program, resulting in higher communication costs. The main idea of our novel solution is to represent the tree as an array. Then we execute only d – the depth of the tree – comparisons. Each comparison is performed using a small garbled circuit, which output secret-shares of the index of the next node. We get the inputs to the comparison by obliviously indexing the tree and the attribute vector. We implement oblivious array indexing using either garbled circuits, Oblivious Transfer or Oblivious RAM (ORAM). Using ORAM, this results in the first protocol with sub-linear cost in the size of the tree. We implemented and evaluated our solution using the different array indexing procedures mentioned above. As a result, we are not only able to provide the first protocol with sublinear cost for large trees, but also reduce the communication cost for the large real-world data set “Spambase” from 18 MB to 1[triangleright]2 MB and the computation time from 17 seconds to less than 1 second in a LAN setting, compared to the best related work.

A Configuration Space Model for Intermediate‐Scale Ionospheric Structure

AbstractStochastic ionospheric structure is characterized by spectral density functions (SDFs), which are formally the average intensity of Fourier transformations of the electron density structure. Structure elongation along magnetic field lines is typically accommodated by constraining contours of constant spatial correlation to field‐aligned ellipsoidal surfaces. Structure realizations are generated by imposing the square root of the SDF onto uncorrelated random Fourier modes. The approach has been used successfully for interpreting both in situ and remote propagation diagnostics. However, the only connection to the field‐aligned structures generated by the underlying instability mechanism is the correlation scale. This paper introduces a configuration space model that constructs realizations as summations of field‐aligned elemental striations with a prescribed scale and peak electron density. We show that by choosing the contributing scales according to a bifurcation rule and imposing a power law intensity scaling, the corresponding SDF closely approximates an inverse power law. Thus, configuration space realizations can be structured to reproduce prescribed or measured SDFs from one‐dimensional scans. Stochastic variation comes from an imposed random distribution of striation locations, which are defined by their intercept in a reference slice plane. To conform more directly to physics‐based simulations, the striations can be interpreted as voids in the background electron density. The model is designed to support propagation simulations with arbitrary propagation angles relative to the local magnetic field direction. Relations between in situ structure and diagnostic measurements as well as phase screen equivalence can be explored.

ТРЕХМЕРНОЕ ЧИСЛЕННОЕ МОДЕЛИРОВАНИЕ ГИДРО- И СЕЙСМОАКУСТИЧЕСКИХ ВОЛН ПРИ ЗОНДИРОВАНИИ ДНА НА ШЕЛЬФЕ

3D numerical simulation of hydro and seismic waves generated by acoustic monopole submerged in shallow water for seismic profiling of bottom medium is demonstrated. Peculiarities of hydroacoustic waves in the water, seismic field configuration in the bottom interior and fluid-solid interface are presented at several frequencies of the bound 100-200Hz. Сapability of remote diagnostics of the subsurface layers lying immediately under the bottom is analyzed. The diagnostic signs are found in the features of amplitude spatial relief formatting with surface wave on fluid-solid interface.

Remote testing and trial of new energy grid-connected power generation for complex data

For the data monitoring, diagnostics and evaluation of new energy grid-connected power generation, multi-source complex data such as real-time operation data and characteristic test data are synchronized into the new energy grid-connected power generation system. And multi-source information fusion technology and online data evaluation method are used to analyze and process the data. On this basis, the establishment of a new energy grid-connected power generation remote test diagnostics system is designed. The real-time curve, test curve and fusion data curve’s simulation waveform and the parameters of simulation credibility were analyzed. The experiment proves the feasibility and rationality of multi-source information fusion and online evaluation method. The system runs stably. And the test data is accurate. It provides the system platform for comprehensive grasp of the grid-connected operation characteristic and the grid-connected test diagnostics information.

Non-damping oscillations at flaring loops

Context. Quasi-periodic oscillations are usually detected as spatial displacements of coronal loops in imaging observations or as periodic shifts of line properties (i.e., Doppler velocity, line width and intensity) in spectroscopic observations. They are often applied for remote diagnostics of magnetic fields and plasma properties on the Sun. Aims. We combine the imaging and spectroscopic measurements of available space missions, and investigate the properties of non-damping oscillations at flaring loops. Methods. We used the Interface Region Imaging Spectrograph (IRIS) to measure the spectrum over a narrow slit. The double-component Gaussian fitting method was used to extract the line profile of Fe XXI 1354.08 Å at the “O I” spectral window. The quasi-periodicity of loop oscillations were identified in the Fourier and wavelet spectra. Results. A periodicity at about 40 s is detected in the line properties of Fe XXI 1354.08 Å, hard X-ray emissions in GOES 1−8 Å derivative, and Fermi 26−50 keV. The Doppler velocity and line width oscillate in phase, while a phase shift of about π/2 is detected between the Doppler velocity and peak intensity. The amplitudes of Doppler velocity and line width oscillation are about 2.2 km s−1 and 1.9 km s−1, respectively, while peak intensity oscillates with amplitude at about 3.6% of the background emission. Meanwhile, a quasi-period of about 155 s is identified in the Doppler velocity and peak intensity of the Fe XXI 1354.08 Å line emission, and AIA 131 Å intensity. Conclusions. The oscillations at about 40 s are not damped significantly during the observation; this might be linked to the global kink modes of flaring loops. The periodicity at about 155 s is most likely a signature of recurring downflows after chromospheric evaporation along flaring loops. The magnetic field strengths of the flaring loops are estimated to be about 120−170 G using the magnetohydrodynamic seismology diagnostics, which are consistent with the magnetic field modeling results using the flux rope insertion method.

Remote Diagnostics Efficiency in Case of Plants Nitrogen Nutrition

The article summarizes foreign and own research on the development of photometric methods for the diagnosis of nitrogen nutrition of plants. Previous own research has shown that ground and aerospace surveys can be successfully used to diagnose nitrogen nutrition of plants. However, despite significant advantages over traditional chemical diagnostics, both terrestrial and space indications of the availability of agricultural crops with nitrogen have certain limitations: terrestrial - by the scale of coverage, aerospace - by time parameters. At the same time, it was shown that the use of low-flying aircraft, in particular helicopters, is most suitable for photometric inspection of crops, although its application has a significant limitation - at the cost of diagnostic work In this regard, the most promising for the rapid diagnosis of nitrogen nutrition of plants is the use of unmanned aerial vehicles - UAV, equipped with appropriate photometric equipment. Testing the effectiveness of remote, using unmanned aerial vehicles, diagnosis of nitrogen nutrition test culture - winter wheat in the field experiment with increasing doses of nitrogen fertilizers showed a close dependence of the UAV instrument readings, namely the vegetative index (NDVI), with the supply of plants with nitrogen. Efficiency and technological simplicity, as well as the economic component of the use of unmanned aerial vehicles for monitoring crops of crops, essentially open a new page in solving the problem of nitrogen nutrient nutrition in plants.

Wave Diagnostics and Forcing

Physical possibilities of remote diagnostics and manipulation with the state of the propagation medium by the methods of wave tomosynthesis are considered. This refers to the electromagnetic and acoustic waves as well as waves of other nature. Important are multi-position measurements with retention of phase information at each point of the medium that allows the technology of synthesizing a wide aperture with focusing to be implemented. Processing of wave projections of hidden objects makes it possible to restore their three-dimensional images. In this way, the effect of multiple wave re-reflections is reduced. In addition, the tomographic approach allows one to manipulate with the properties of the media being sounded. Thus, an increase in the radiation power at a chosen focusing point causes hyperthermia that can be used, for example, to treat oncological diseases. And creation of a minimum field and a preset phase distribution in certain regions of the medium opens the possibility of control over the motion of microparticles being trapped. The last circumstance is important, for example, for targeted delivery of medical preparations in medicine.

Denoising autoencoder anomaly detection for correlated data

In the mining industry, primary digging units such as wheel loaders are critical components due to their position at the start of the process chain. Consequently, the cost of unexpected downtime is high: this motivates efforts to provide an early warning of faults using remote diagnostics. Machines are equipped with sensors that measure machine health. Some sensors are highly correlated and a model based on machine learning techniques can leverage such relationships across sensors to detect within-group abnormalities. Autoencoders are auto-associative artificial neural networks which are trained to compress and rebuild the original input with minimal loss. The information is stored in the lower dimensional hidden layers as an internal coding. This is susceptible to a phenomenon called spillover, where the error in a single input can propagate through the network, corrupting the coding and biasing the entire reconstructed data. A denoising autoencoder is a more robust variation on the traditional autoencoder, trained to remove noise and build an error-free reconstruction. We created a denoising autoencoder to utilize the noise removal on corrupted inputs, and rebuild from working inputs. While this technique is novel to this problem it remained susceptible to spillover. We show our findings and discuss future anomaly detection techniques in correlated data.

On necessity of development of instant interplanetary telecommunication based on some gravitational phenomena for remote medical diagnostics and treatment

On necessity of development of instant interplanetary telecommunication based on some gravitational phenomena for remote medical diagnostics and treatment