Data Augmentation with Adversarial Autoencoders for the Clustering of Electromagnetic Interference Signals

2020 ◽  
Author(s):  
Di Zhao ◽  
Wei Chen ◽  
Hongyi Li
Keyword(s):  
Electromagnetic Interference ◽  
Data Augmentation ◽  
Interference Signals

Study of Blind Source Separation on Transmission Line EMI

2013 ◽  
Vol 846-847 ◽  
pp. 493-499
Author(s):  
Zi Hua Li ◽  
Chun Yan Xiao ◽  
Shuai Gao
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
Electromagnetic Interference ◽  
Electromagnetic Compatibility ◽  
Spectral Characteristics ◽  
Separation Performance ◽  
Fast Independent Component Analysis ◽  
Fastica Algorithm ◽  
Interference Signals ◽  
Emc Design

The transmission line is an important part of electrical system. Electromagnetic interference (EMI) signals can be picked up by transmission lines in a way of conduction or radiation, and interfere the sensitive devices located in the power source end and the load end, so it is important and necessary to separate and identify the EMI source signals coupling to the transmission lines in order to guide the electromagnetic compatibility (EMC) design and the further EMI diagnosis and suppression. Fast independent component analysis (FastICA) algorithm is studied and programmed, and its feasibility and separation performance are validated via simulation of BSS of three mixed signals and the average signals to interference ratio (SIR) is approximately 30 dB. The model of crosstalk of transmission lines is built and simulated, the interference signals are separated by the FastICA algorithm, and the average SIR is over 20 dB. Periodicity and spectral characteristics of the separated interference signals are analyzed, and the identification of interference signals is realized.

The Research of Electromagnetic Interference in Metro Signal System

2010 ◽  
Vol 40-41 ◽  
pp. 478-481
Author(s):  
Lin Na He ◽  
Wei Yin
Keyword(s):  
Electromagnetic Interference ◽  
Signal System ◽  
Interference Signals

This paper analyzes the Metro signal system , the causes of electromagnetic interference, the ways to anti-electromagnetic interference and measures. First, Analyzing commonly used structures and equipment in the Metro signal system, and then Analyzing the various electromagnetic interference signals in the Metro signal system, Finally, the proposed methods and measures for Anti-electromagnetic interference in the Metro signal system.

Characterizing Electromagnetic Interference Signals for Unmanned Aerial Vehicle Geophysical Surveys

Geophysics ◽  
2021 ◽  
pp. 1-71
Author(s):  
Callum Walter ◽  
Alexander Braun ◽  
Georgia Fotopoulos
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Electromagnetic Interference ◽  
High Frequency ◽  
Rotation Frequency ◽  
Mitigation Strategies ◽  
Fluxgate Magnetometer ◽  
Geophysical Surveys ◽  
Aerial Vehicle ◽  
Interference Signals ◽  
Electromagnetic Signals

The development of a functional Unmanned Aerial Vehicle (UAV) mounted aeromagnetic system requires integrating a magnetometer payload onboard a UAV platform in a manner that preserves the integrity of the total magnetic field measurements. One challenge when developing these systems is accounting for the sources of in-flight magnetic and electromagnetic interference signals that are greater than the resolvability threshold of the magnetometer. Electromagnetic interference generated by the platform has the potential to be mitigated using several techniques such as magnetic shielding, filtering, or compensation; and can be attenuated by strategically positioning the magnetometer at a distance from the UAV. The integration procedure and selection of a mitigation strategy can be informed by characterizing the electromagnetic interference generated by the platform. Scalogram analysis was employed to characterize the high-frequency electromagnetic signals generated by a multi-rotor UAV’s electromagnetic motors. A low sensitivity (7 nT) vector, fluxgate magnetometer was used to measure the electromagnetic interference generated by two unique multi-rotor UAVs in a controlled lab setting. Results demonstrated three spectrally distinct electromagnetic signals, each with unique frequency and amplitude, generated by each UAV platform. The frequency of these electromagnetic interference signals was found to be directly proportional to the applied rotation frequency of the electromagnetic motor. The aforementioned knowledge was applied to UAV field surveys to assess the high-frequency electromagnetic interference signals experienced. This was achieved by using a high sensitivity (0.01 nT), scalar optically pumped magnetometer with a 1000 Hz sampling frequency. The results show that adequate sensor placement and pre-flight evaluation of the platform-sensor interactions provide useful mitigation strategies, which can compensate for electromagnetic interference signals generated by the UAV platform during aeromagnetic surveys.

scholarly journals THE CHANGE OF CARDIOSTIMULATION DEVICE PROGRAMMING DUE TO DETECTION OF ELECTROMAGNETIC INTERFERENCE

2020 ◽  
Vol 50 (2) ◽  
pp. 65-68
Author(s):  
Jan Morava ◽  
Aleš Richter
Keyword(s):  
Electromagnetic Interference ◽  
Electromagnetic Compatibility ◽  
Low Frequency ◽  
External Source ◽  
Cardiac Implantable Electronic Devices ◽  
Clinical Episode ◽  
Device Placement ◽  
Interference Signals ◽  
Device Programming ◽  
Frequency Harmonic

The study deals with the interdisciplinary topic of the electromagnetic compatibility of the cardiac implantable electronic devices that are used in patients with a defect of heart conduction system. We are focusing on the detection of disturbing signals on electrodes of cardiostimulation device and its interpretation. The detection of electromagnetic interference (EMI) is related to electrode choice, device placement, its configuration and programming. The aim of the study is the analysis of the pacemaker response in the presence of an external source of the disturbance fields. We point to possible risks of its interaction and discuss mechanisms that can influence the pacemaker sensitivity to EMI. Due to improper signal detection, the device programming changes can occur. We present an experiment of the exposure of the cardiostimulation system to a low-frequency harmonic interference signals and finally we analyse similar clinical episode and discuss proper functioning of the pacemaker.

The Research of Full Digital Beneficiation Metal Detector

2013 ◽  
Vol 385-386 ◽  
pp. 622-625
Author(s):  
Duan Duan Li ◽  
Cheng Hao ◽  
Ce Cui
Keyword(s):  
Electromagnetic Interference ◽  
Cross Correlation ◽  
Temperature Drift ◽  
Metal Detector ◽  
Noise Interference ◽  
Interference Temperature ◽  
The Core ◽  
Metal Impurities ◽  
Interference Signals ◽  
Metal Detectors

Due to the influence of interference signals, such as the electromagnetic interference, noise interference, temperature drift, and so on. The traditionally used metal detectors have the shortcomings of the inaccuracy and poor anti-interference ability. This paper is based on analyzing the principles and characteristics of traditionally used metal detectors, presents a new full digital beneficiation metal detector, which using MSP430 MCU as the core, the FFT algorithm is employed successfully to analyze the induction signals that collected when the metal through the induction coil, gets the amplitude-frequency and phase frequency characteristics, determines whether metal impurities through the coil by the characteristics of cross-correlation function. In the end, achieves good harmonization between sensibility and reliability.

scholarly journals Feature Extraction and Clustering of High Dimensional Electromagnetic Interference Signals Based on Multidimensional Scaling and SOM Network

2021 ◽  
Vol 2078 (1) ◽  
pp. 012072
Author(s):  
Hongyi Li ◽  
Tianshi Xu ◽  
Haoran Lian ◽  
Wei Chen ◽  
Di Zhao
Keyword(s):  
Feature Extraction ◽  
Electromagnetic Interference ◽  
Computation Time ◽  
Electromagnetic Signal ◽  
Higher Dimensional ◽  
Inheritance System ◽  
Interference Signals ◽  
Som Network ◽  
Very High ◽  
Selection Of

Abstract With the wide application of communication technology, the threat of interference is becoming more and more serious. These disturbances usually appear as higher-dimensional vectors, and the nuances between the different vectors are indistinguishable to humans. A great deal of research has been done on how to deal with this interference in an automated way. But most of the computation time in these studies was spent on the training and computation of the convolution layer. As the electromagnetic equipment tends to be a large inheritance system, the electromagnetic signal also presents higher dimensional characteristics. Then the convolutional neural network represented must use larger and more convolutional layers, so the time cost is very high. Therefore, feature extraction of the original signal is carried out before clustering. After adjusting the selection of features, the algorithm performs well on our dataset.

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

High-voltage monitoring by the fiber-optic recirculating measuring system

2020 ◽  
pp. 38-44
Author(s):  
A. V. Polyakov ◽  
M. A. Ksenofontov
Keyword(s):  
Optical Fibers ◽  
High Voltage ◽  
Optical Sensors ◽  
Electromagnetic Interference ◽  
Fiber Optic ◽  
Electric Power Industry ◽  
Measuring System ◽  
Voltage Range ◽  
External Electromagnetic Fields ◽  
Optic Communication

Optical technologies for measuring electrical quantities attract great attention due to their unique properties and significant advantages over other technologies used in high-voltage electric power industry: the use of optical fibers ensures high stability of measuring equipment to electromagnetic interference and galvanic isolation of high-voltage sensors; external electromagnetic fields do not influence the data transmitted from optical sensors via fiber-optic communication lines; problems associated with ground loops are eliminated, there are no side electromagnetic radiation and crosstalk between the channels. The structure and operation principle of a quasi-distributed fiber-optic high-voltage monitoring system is presented. The sensitive element is a combination of a piezo-ceramic tube with an optical fiber wound around it. The device uses reverse transverse piezoelectric effect. The measurement principle is based on recording the change in the recirculation frequency under the applied voltage influence. When the measuring sections are arranged in ascending order of the measured effective voltages relative to the receiving-transmitting unit, a relative resolution of 0,3–0,45 % is achieved for the PZT-5H and 0,8–1,2 % for the PZT-4 in the voltage range 20–150 kV.

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