Fault Signal Detection Model for Large-Scale Circuit Communication System

2014 ◽  
Vol 651-653 ◽  
pp. 432-435
Author(s):  
Bao Sheng Chen
Keyword(s):  
Signal Detection ◽  
Communication System ◽  
Communication Systems ◽  
Large Scale ◽  
Detection Method ◽  
Wave Group ◽  
Detection Model ◽  
Group Detection ◽  
The Time Domain ◽  
Process Detection

In the process of fault signal detection for large-scale circuit communication systems, with traditional methods to process detection, the fault detection method is more conservative. A fault signal detection for large-scale circuit communication system based on QRS wave group detection method is proposed. The signal to be measured is transformed appropriately in the time domain or frequency domain to strengthen or separate the QRS component, in order to suppress interference from various noise to signals, and the fault point of circuit communication system fault signal is identified, the filter is utilized as representative to process multiscale decomposition for fault signals of circuit communication systems. Experiments show that QRS wave group detection method can determine the occurrence time of the circuit system fault signal, and further estimate the nature of the fault signal, thus, the fault point of communication system fault signal is found to improve the efficiency of detection.

A Fault Detection Model for Large-Scale Circuit Communication Systems

2014 ◽  
Vol 651-653 ◽  
pp. 383-386
Author(s):  
Wen Qun Duan ◽  
Yang Yun
Keyword(s):  
Fault Detection ◽  
Traditional Method ◽  
Communication Systems ◽  
Wavelet Transformation ◽  
Large Scale ◽  
Fault Location ◽  
Detection Method ◽  
Wavelet Function ◽  
Detection Model ◽  
Long Time

In the fault detection process for large-scale circuit communication systems, the traditional method needs to exam each node to determine whether a failure exists. It is complex and needs long time which causes a certain lagging. To avoid the defects mentioned above, this paper proposes a fault detection method based on wavelet transformation that calculates the changes of coefficients of the wavelet transform and the similarity between wavelet function and the signal. This kind of fault detection can pre-process the failure might occur and effectively improve the efficiency. The experimental results approve that the proposed method can predicate the fault location and reach satisfied effects.

Accurate Detection of Fault Signal in Large-Scale Communication

2014 ◽  
Vol 989-994 ◽  
pp. 3802-3805
Author(s):  
Na Shu
Keyword(s):  
Particle Swarm Optimization ◽  
Fault Detection ◽  
Signal Detection ◽  
Communication System ◽  
Communication Systems ◽  
Large Scale ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Mining Methods ◽  
Reaction Speed

Deep data-mining methods of fault signal in large-scale communication system are researched. Although with the characteristic of frequency uniformity as signals distribute in each reaction zone, common method of fault signal detection based on shortwave dispersing is invalid employing in large-scale communication system, which presents the absence or instability of fault signal. For this reason, a method based on particle swarm optimization is proposed for fault signal detection in large-scale communication system. As reaction speed and activity scope within the whole particle swarm are replaced, accurate results are achieved. Taking particle swarm optimization, it is detected that whether there is a fault in communication systems. The experimental results show that proposed method in signal fault detection process can greatly increase accuracy of signal fault detection, as plays a greater role in future.

Fault Signal Detection System of Large Scale Integrated Circuit Based on Single Chip Microcomputer

2014 ◽  
Vol 716-717 ◽  
pp. 924-927
Author(s):  
Xiu Ying Li ◽  
Cun Ping Liu ◽  
Rong Fang Mei
Keyword(s):  
Signal Detection ◽  
Integrated Circuit ◽  
Large Scale ◽  
Detection Method ◽  
Detection System ◽  
Design Method ◽  
Detection Accuracy ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Working Performance

In the process of fault signal detection of large-scale integrated circuit, the fault signal detection can improve the working performance of large-scale integrated circuit. The traditional detection system is simple, time-consuming, and the error is large, the fault signal detection haslow accuracy. In view of this situation, a new design method of large scale integrated circuit fault signal detection system is proposed based on single chip microcomputer. S3C2410 is taken as hardware design basis, and the signal sensor is used, the software algorithm uses three B spline wavelet transform for ORB wave detection method. The detection is completed.The experiment experimental results show that the system can improve the detection accuracy greatly, and effectively improve the work efficiency.

scholarly journals ISSOR Signal Detection for Energy Efficient and Low Complexity Large Scale MIMO System

2019 ◽  
Vol 9 (1S5) ◽  
pp. 327-334
Keyword(s):  
Signal Detection ◽  
Energy Efficient ◽  
Communication Systems ◽  
Large Scale ◽  
Mimo System ◽  
Low Complexity ◽  
High Energy ◽  
Base Station ◽  
User Equipment ◽  
Multiple User

Scalable version of multiuser MIMO called Large-scale MIMO is a one of the powerful technology in future wireless communication systems in which huge amount of BS (base station) antennas utilized to process multiple user equipment. Energy consumed is high with more antennas and also it leads to increase the signal detection complexity and overall circuit power consumption. Designing energy efficient and low complexity MIMO system is considered as a challenging issue. This paper presents the ISSOR signal detection for energy efficient and low complexity large scale MIMO system. VA-GSM (Variable Antenna Generalized spatial modulation) is used in which the number of active antenna transmissions are varied for every transmission in the large scale MIMO. In transmitter side, Eigen value based approach is used for antenna selection. Then, improved symmetric successive over relaxation (ISSOR) approach is proposed for low complexity signal detection in receiver side. The number of user equipment, transmit power, as well as the amount of antennas at the base station, are considered as the optimal system parameters which are chosen for enhancing the efficiency of utilized energy in the system. The proposed scheme implemented in MATLAB software. The proposed scheme attained the high energy efficiency compared to other approaches. Moreover, the BER is utilized to estimate the performance of an offered algorithm and also compared to the previously determined algorithm of existing literatures.

scholarly journals Arching Detection Method of Slab Track in High-Speed Railway Based on Track Geometry Data

2020 ◽  
Vol 10 (19) ◽  
pp. 6799
Author(s):  
Zhuoran Ma ◽  
Liang Gao ◽  
Yanglong Zhong ◽  
Shuai Ma ◽  
Bolun An
Keyword(s):  
High Speed ◽  
Large Scale ◽  
Detection Method ◽  
Low Cost ◽  
Detection Methods ◽  
Data Conversion ◽  
Track Geometry ◽  
Slab Track ◽  
Detection Model ◽  
Characteristics Analysis

During the long-term service of slab track, various external factors (such as complicated temperature) can result in a series of slab damages. Among them, slab arching changes the structural mechanical properties, deteriorates the track geometry conditions, and even threatens the operation of trains. Therefore, it is necessary to detect slab arching accurately to achieve effective maintenance. However, the current damage detection methods cannot satisfy high accuracy and low cost simultaneously, making it difficult to achieve large-scale and efficient arching detection. To this end, this paper proposed a vision-based arching detection method using track geometry data. The main works include: (1) data nonlinear deviation correction and arching characteristics analysis; (2) data conversion and augmentation; (3) design and experiments of convolutional neural network- based detection model. The results show that the proposed method can detect arching damages effectively, and the F1-score reaches 98.4%. By balancing the sample size of each pattern, the performance can be further improved. Moreover, the method outperforms the plain deep learning network. In practice, the proposed method can be employed to detect slab arching and help to make maintenance plans. The method can also be applied to the data-based detection of other structural damages and has broad prospects.

scholarly journals Reduced Complexity Detection of Narrowband Secondary Synchronization Signal for NB-IoT Communication Systems

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1342
Author(s):  
Young-Hwan You
Keyword(s):  
Internet Of Things ◽  
Signal Detection ◽  
Communication Systems ◽  
Detection Method ◽  
Signal Sequence ◽  
Search Space ◽  
Complementary Sequence ◽  
Synchronization Signal ◽  
Reduced Complexity ◽  
Simulation Results

Narrowband Internet of Things is one of the most promising technologies to support low cost, massive connection, deep coverage, and low power consumption. In this paper, a computationally efficient narrowband secondary synchronization signal detection method is proposed in the narrowband Internet of Things system. By decoupling the detection of complementary sequence and Zadoff–Chu sequence that make up the synchronization signal sequence, the search space of narrowband secondary synchronization signal hypotheses is reduced. Such a design strategy along with the use of the symmetric property of synchronization signals allows reduced-complexity synchronization signal detection in the narrowband Internet of Things system. Both theoretical and simulation results are provided to verify the usefulness of the proposed detector. It is shown via simulation results that the complexity of the proposed detection method is significantly reduced while producing some performance degradation, compared to the conventional detection method.

SCALE PHYSICAL MODELING METHOD OF THE UV-C BAND COMMUNICATION SYSTEM

2020 ◽  
Vol 6 ◽  
pp. 141-147
Author(s):  
G.S. VASILIEV ◽  
O.R. KUZICHKIN ◽  
D.I. SURZHIK ◽  
I.S. KONSTANTINOV
Keyword(s):  
Communication System ◽  
Physical Modeling ◽  
Communication Systems ◽  
Large Scale ◽  
Initial Conditions ◽  
Signal To Noise Ratio ◽  
Scale Model ◽  
Filter Model ◽  
Solar Blind ◽  
Uv C

Communication systems of the solar-blind ultraviolet range UV-C from 200 to 280 nm enable communication in the absence of line of sight due to the strong scattering of UV radiation in the atmosphere. Creating a full-scale model of the UV communication system at the initial stage of technical implementation can be extremely difficult due to the high requirements for the components of the optical receiver and transmitter. An urgent task is to develop a technique for large-scale physical modeling of the UV-C coupling system, which allows evaluating the performance of the system under new conditions with new components based on experimental results obtained for initial conditions with initial components. Based on the analytical model of the UV communication system, a signal-to-noise ratio (SNR) conversion coefficient is introduced in the new system compared to the original one. The simulation of the UV communication system with varying light levels and the solar-blind filter model showed the effectiveness of the proposed method for simplifying the implementation of the UV communication system.

scholarly journals Assessment of Radio Communication System Reliability by System Dynamics Method

2021 ◽  
Author(s):  
Batzorig Bazargur ◽  
Otgonbayar Bataa ◽  
Uuganbayar Budjav
Keyword(s):  
Research Methodology ◽  
Communication System ◽  
Communication Systems ◽  
Large Scale ◽  
Underground Mining ◽  
System Modeling ◽  
Underground Mine ◽  
Radio Communication ◽  
Radio Communication System ◽  
New Research

Radio communication system in an underground mine is one of the very essential systems for the underground mine. It is required that the radio communication system must be reliable from the starting to construct the underground mine to the closure of the mine. However, underground mine radio communication systems reliability is required to be tested on an active radio communication system in a real environment. In the study was suggested a new research methodology that is studied reliability using dynamic system modeling on Vensim software instead of traditional method to study the reliability of radio communication systems calculating large-scale differential equations. In other words, we suggest a new research methodology. The Motorola Dimetra (TETRA) radio communication system's availability readiness information was used to simulate the reliability of the underground mine radio communication system probability of reliability using Vensim software for system dynamic modeling.Also, the factors that affect the reliability of underground mining radio communication systems was studied. The study was determined factors that affect the underground mine radio communication system from the following risks. The study was in the examples of the Oyu Tolgoi underground mine. The factors that affect the reliable operation of the underground mine radio communication system were determined using the failure statistics of TETRA radio communication system in the Oyu Tolgoi mine in 2015-2018.

Research on a Novel Automation Software Reliability Detection Method

2014 ◽  
Vol 556-562 ◽  
pp. 2928-2931
Author(s):  
Wen Lai Liu
Keyword(s):  
Software Reliability ◽  
Large Scale ◽  
Design Principle ◽  
Detection Method ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Transition Diagram ◽  
Detection Model ◽  
Module Design ◽  
Improved Methods

The reliability detection method for the traditional large-scale automation software is based on the module design principle of the automation software which detects the reliability features one by one. It does not consider the concurrent reliable chain problems for the automation software which cause the low detection accuracy. The paper proposes a novel automation software system reliability detection method based on the path-based interfaces. The detection model integrates the features of the automation software. The established stochastic points process and state probability transition diagram overcome the shortcomings of the traditional large-scale automation software reliability detection methods. The experiment results illustrate the improved methods can increase the detection accuracy of the large-scale automation software which can be widely applied.

scholarly journals Performance Evaluation of Encrypted Text Message Transmission in 5G Compatible Frequency-domain Subband Superposed Scheme Implemented MIMO OFDM Wireless Communication System

2019 ◽  
pp. 17-27 ◽  
Author(s):  
Mst. Afrin Naher ◽  
Md. Omor Faruk ◽  
Md. Mahbubur Rahman ◽  
Shaikh Enayet Ullah
Keyword(s):  
Performance Evaluation ◽  
Wireless Communication ◽  
Signal Detection ◽  
Communication System ◽  
Channel Coding ◽  
Text Message ◽  
Zero Forcing ◽  
Detection Techniques ◽  
Mimo Ofdm ◽  
Group Detection

In this paper, an investigative study has been made on the performance evaluation of encrypted text message transmission in 5G compatible multiuser frequency-domain subband superposed (FDSS) scheme implemented MIMO OFDM wireless communication system. The 2×2 multiantenna configured simulated system under consideration incorporates modern channel coding (LDPC and Repeat and Accumulate (RA)) and signal detection (Cholesky decomposition based ZF detection, Group Detection (GD) approach aided Efficient Zero-Forcing (ZF) and Lanczos method based efficient signal detection) techniques. In the scenario of transmitting encrypted text message over AWGN and Rayleigh fading channels, it is noticeable that implementation of Repeat and Accumulate channel coding and Group Detection (GD) approach aided Efficient Zero- Forcing (ZF) signal detection techniques is very much robust and effective in retrieving transmitted text messages for all users.

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