scholarly journals Electric-Contact Tilt Sensors: A Review

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1097
Author(s):  
Sergiusz Łuczak ◽  
Magdalena Ekwińska
Keyword(s):  
Signal Processing ◽  
Power Supply ◽  
Electric Contact ◽  
Electronic Circuits ◽  
Electrostatic Discharges ◽  
Tilt Sensors

A review of various kinds of solid tilts sensors, using a free mechanical member for generation of electric-contact (mostly a ball), is presented. Standard and original solutions are discussed. The latest patents are described. A classification of the existing solutions with respect to their sensing principle is proposed. Possible types of the electric/electronic circuits are discussed. Advantages of these sensors are emphasized: mainly optional operation without power supply, resistance to electrostatic discharges, and simplicity of signal processing. Technological details are briefly introduced, along with miniaturization prospects. Additionally, liquid tilt sensors are succinctly characterized. The most typical tilt sensing techniques are concisely compared.

scholarly journals HARMONIC BALANCE THEORY FOR SCHEME TECHNICAL DESIGN

T-Comm ◽  
2020 ◽  
Vol 14 (11) ◽  
pp. 21-32
Author(s):  
Svetlana F. Gorgadze ◽  
◽  
Anton A. Maximov ◽  
Keyword(s):  
Harmonic Balance ◽  
Harmonic Balance Method ◽  
Projection Methods ◽  
Algebraic Equations ◽  
Electronic Circuits ◽  
Large Signal ◽  
Linear Algebraic Equations ◽  
Methods Of Synthesis ◽  
Signal Mode

The analysis and generalization of the main publications on the methods of synthesis and analysis of non-linear active microwave circuits based on the use of the harmonic balance method are presented. As a result of some classification of mathematical approaches and techniques used in the context of this method, a selection and review of basic algorithms was made, the sequential application of which makes it possible to obtain the final result for a scheme of any complexity. The principles of drawing up the initial system of differential equations for electronic circuits and reducing it to a system of linear algebraic equations are considered. A detailed and, at the same time, simplified interpretation of the approaches involving the use of projection methods and Krylov subspaces is given in order to make them easier to understand. Both the complete and the restart generalized method of minimal residuals are considered, in which the desired solution is obtained in the course of an iterative process, at each stage of which subspaces of lower dimension are constructed. The possibilities of simulators and application packages intended for circuit design of electronic circuits are considered. The problem of matching a power amplifier in large signal mode using the APLAC simulator, which is NI AWR technology for designing high-frequency circuits, is discussed.

scholarly journals Features of calculations of consequences of failures of power supply in distribution networks with the monoconsumer of electric energy

2020 ◽  
Vol 22 (2) ◽  
pp. 43-50
Author(s):  
Y. A. Sekretarev ◽  
D. A. Menyaikin
Keyword(s):  
Power Supply ◽  
Electric Energy ◽  
Distribution Networks ◽  
Operating Conditions ◽  
Electric Networks ◽  
Use Of Data ◽  
Information Classification ◽  
Specific Scheme ◽  
Transmission And Distribution

Reliability of power supply of consumers is an important task in the process of transmission and distribution of electric energy. The paper proposes a method for assessing the consequences of power failures of monoconsumers of electric energy on the example of an oil company and an adjacent power grid company. The uniqueness of the developed technique lies in the possibility of reliable calculation of reliability of power supply of complex branched electric networks without taking into account the specific scheme of power supply. The accuracy of calculations is increased due to the use of data directly studied power system, taking into account the specifics and operating conditions of specific equipment, instead of the average information. Classification of failures on the main reasons in electric networks of the oilproducing enterprise of the far North that allowed to develop actions for increase of level of reliability of power supply is made.

scholarly journals Classification of robotic battery service systems for unmanned aerial vehicles

2018 ◽  
Vol 161 ◽  
pp. 03023
Author(s):  
Tien Ngo ◽  
Mehmet Guzey ◽  
Vladimir Dashevsky
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Power Supply ◽  
Landing Site ◽  
Operating Conditions ◽  
Joint Work ◽  
Operator Experience ◽  
Aerial Vehicles ◽  
Robotic Platforms ◽  
Algorithmic Model

Existing examples of prototypes of ground-based robotic platforms used as a landing site for unmanned aerial vehicles are considered. In some cases, they are equipped with a maintenance mechanism for the power supply module. The main requirements for robotic multi-copter battery maintenance systems depending on operating conditions, required processing speed, operator experience and other parameters are analyzed. The key issues remain questions of the autonomous landing of the unmanned aerial vehicles on the platform and approach to servicing battery. The existing prototypes of service robotic platforms are differed in the complexity of internal mechanisms, speed of service, algorithms of joint work of the platform and unmanned aerial vehicles during the landing and maintenance of the battery. The classification of robotic systems for servicing the power supply of multi-copter batteries criteria is presented using the following: the type of basing, the method of navigation during landing, the shape of the landing pad, the method of restoring the power supply module. The proposed algorithmic model of the operation of battery power maintenance system of the multi-copter on ground-based robotic platform during solving the target agrarian problem is described. Wireless methods of battery recovery are most promising, so further development and prototyping of a wireless charging station for multi-copter batteries will be developed.

scholarly journals Capillary Sensor with Disposable Optrode for Diesel Fuel Quality Testing

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1980 ◽  
Author(s):  
Michal Borecki ◽  
Przemyslaw Prus ◽  
Michael L. Korwin-Pawlowski
Keyword(s):  
Signal Processing ◽  
Diesel Fuel ◽  
Optoelectronic Device ◽  
Data Series ◽  
Fuel Quality ◽  
Engine Operation ◽  
Quality Classification ◽  
Artificial Neural Network Classifier ◽  
Quality Type

Diesel fuel quality can be considered from many different points of view. Fuel producers, fuel consumers, and ecologists have their own ideas. In this paper, a sensor of diesel fuel quality type, and fuel condition that is oriented to the fuel’s consumers, is presented. The fuel quality types include premium, standard, and full bio-diesel classes. The fuel conditions include fuel fit for use and fuel degraded classes. The classes of fuel are connected with characteristics of engine operation. The presented sensor uses signal processing of an optoelectronic device monitoring fuel samples that are locally heated to the first step of boiling. Compared to previous works which consider diesel fuel quality sensing with disposable optrodes which use a more complex construction, the sensor now consists only of a capillary probe and advanced signal processing. The signal processing addresses automatic conversion of the data series to form a data pattern, estimates the measurement uncertainty, eliminates outlier data, and determines the fuel quality with an intelligent artificial neural network classifier. The sensor allows the quality classification of different unknown diesel fuel samples in less than a few minutes with the measurement costs of a single disposable capillary probe and two plugs.

scholarly journals Role of EEG as Biomarker in the Early Detection and Classification of Dementia

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Noor Kamal Al-Qazzaz ◽  
Sawal Hamid Bin MD. Ali ◽  
Siti Anom Ahmad ◽  
Kalaivani Chellappan ◽  
Md. Shabiul Islam ◽  
...  
Keyword(s):  
Signal Processing ◽  
Early Detection ◽  
Patient Treatment ◽  
Treatment Programs ◽  
Treatment Benefit ◽  
Medical Practitioners ◽  
Early Stages ◽  
Clinical Support

The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. Efforts are being made to diagnose these neurodegenerative disorders in the early stages. Indeed, early diagnosis helps patients to obtain the maximum treatment benefit before significant mental decline occurs. The use of electroencephalogram as a tool for the detection of changes in brain activities and clinical diagnosis is becoming increasingly popular for its capabilities in quantifying changes in brain degeneration in dementia. This paper reviews the role of electroencephalogram as a biomarker based on signal processing to detect dementia in early stages and classify its severity. The review starts with a discussion of dementia types and cognitive spectrum followed by the presentation of the effective preprocessing denoising to eliminate possible artifacts. It continues with a description of feature extraction by using linear and nonlinear techniques, and it ends with a brief explanation of vast variety of separation techniques to classify EEG signals. This paper also provides an idea from the most popular studies that may help in diagnosing dementia in early stages and classifying through electroencephalogram signal processing and analysis.

Classification of the emotional states based on the EEG signal processing

2009 ◽  
Author(s):  
Martin Macas ◽  
Michal Vavrecka ◽  
Vaclav Gerla ◽  
Lenka Lhotska
Keyword(s):  
Signal Processing ◽  
Emotional States ◽  
Eeg Signal ◽  
Eeg Signal Processing
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