scholarly journals Alarm method of communication intelligent manhole cover based on multiple event fusion

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chengfan Li ◽  
Shanming Gu ◽  
Gang Guo ◽  
Xuefeng Liu ◽  
Lan Liu ◽  
...  
Keyword(s):  
False Alarm ◽  
Random Error ◽  
Working Environment ◽  
Experimental Result ◽  
Monitoring Method ◽  
Sensor Signals ◽  
Multiple Sensor ◽  
Single Sensor ◽  
Status Signals ◽  
Monitoring Service

AbstractAs a comprehensive utilization of pipeline resources, communication intelligent manhole cover (CIMC) can effectively real-time monitor communication manhole cover and protect the safety of communication pipeline. Due to the complex working environment of manhole cover and the random error of sensor, the traditional monitoring method usual leads to frequent false alarm in actual applications. In order to ensure the monitoring service quality and improve the service efficiency, a new alarm method of CIMC with multiple event fusion in this paper via jointing analysis of multi-sensor status signals is proposed based on the equipment status signals generated by the CIMC terminal and abnormal alarm events definition. The experimental result shows that the proposed CIMC alarm method by means of multiple sensor signals in this paper can not only make up for the defect of a single sensor, but also reduces the false alarm rate caused by the random error of sensor and CIMC system. It can promote the intelligent monitoring efficiency of the manhole cover and be conducive to the construction of intelligent transportation and smart city.

scholarly journals Alarm Method of Communication Intelligent Manhole Cover Based on Multiple Event Fusion

2021 ◽  
Author(s):  
chengfan li ◽  
shanming gu ◽  
gang guo ◽  
xuefeng liu ◽  
lan liu ◽  
...  
Keyword(s):  
Random Error ◽  
Working Environment ◽  
Experimental Result ◽  
False Alarms ◽  
Status Change ◽  
Monitoring Method ◽  
The Status ◽  
Sensor Signals ◽  
Multiple Sensor ◽  
Status Signals

Abstract Communication intelligent manhole cover (CIMC) can effectively, accurately and in real time monitor the status change of communication manhole cover and helps protect the safety of communication pipeline and the comprehensive utilization of pipeline resources. The traditional monitoring method often leads to frequent false alarms due to the complex working environment of manhole cover and the random error of sensor. In terms of the equipment status signals generated by the CIMC terminal, a new alarm method of CIMC with multiple event fusion in this paper via jointing analysis of multi-sensor status signals is proposed on the basis of abnormal alarm events definition. The experimental result shows that the proposed CIMC alarm method by means of multiple sensor signals in this paper can not only make up for the defect that it is difficult to fully reflect the real state of manhole cover by a single sensor, but also reduces the false alarm rate caused by the random error of sensor and CIMC system. It has better practicability for the intelligent management of manhole cover and be conducive to the construction of intelligent transportation and smart city.

scholarly journals A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 244
Author(s):  
Duy Tang Hoang ◽  
Xuan Toa Tran ◽  
Mien Van ◽  
Hee Jun Kang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Deep Neural Network ◽  
Feature Fusion ◽  
Superior Performance ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Sensor Signals ◽  
Multiple Sensor ◽  
Single Sensor

This paper presents a novel method for fusing information from multiple sensor systems for bearing fault diagnosis. In the proposed method, a convolutional neural network is exploited to handle multiple signal sources simultaneously. The most important finding of this paper is that a deep neural network with wide structure can extract automatically and efficiently discriminant features from multiple sensor signals simultaneously. The feature fusion process is integrated into the deep neural network as a layer of that network. Compared to single sensor cases and other fusion techniques, the proposed method achieves superior performance in experiments with actual bearing data.

scholarly journals An Effective System of Intrusion Detection on Deep Neural Network by Hybrid Optimization in Cyber Security

2019 ◽  
Vol 9 (1) ◽  
pp. 1320-1327
Keyword(s):  
Intrusion Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Search Algorithm ◽  
Detection System ◽  
Optimization Techniques ◽  
Hybrid Optimization ◽  
Experimental Result ◽  
Gray Wolf ◽  
High Detection

In present trends organizations are very much interested to protect data and prevent malware attack by using well flourished and excellent tools. Many algorithms are used for the intrusion detection system (IDS) and it has pros and cons. Here we proposed a novel method of intrusion detection using hybrid optimization techniques such as Gravity search algorithm with gray wolf optimization (GSGW). In this method the gray wolf technique has a leader for the continuous monitoring of the attacker and has a low false alarm rate and a high detection rate. The performance evaluation is done by the feature selection in NSL-KDD dataset. In the proposed method the experimental result reveals less false alarm rate, better accuracy and high Detection when compared to previous analysis.

Software Datum Design for Cross-Axis Motion Measurement of X-Stage Based on Least Uncertainty Criterion

2011 ◽  
Vol 5 (2) ◽  
pp. 97-101 ◽  
Author(s):  
Eiki Okuyama ◽  
◽  
Hiroshi Takahashi ◽  
Hiromi Ishikawa ◽  
Keyword(s):  
Machine Tool ◽  
Random Error ◽  
Translational Motion ◽  
Inverse Filtering ◽  
Motion Measurement ◽  
Pitch Motion ◽  
Multiple Sensors ◽  
Multiple Sensor ◽  
Standard Deviations ◽  
Cross Axis

Cross-axis translational motion of a table on a machine tool is important in ultraprecision processes. Currently, conventional software datums that separate the cross-axismotion fromthe straightness profile of the straightedge by using multiple sensors and/or multiple arrangements are well-known. However, in large sampling numbers, the multiple sensor method tends to propagate random error. In this paper, a novel software datum for cross-axis motion measurement that can reduce the uncertainty due to the datum profile, pitch motion and random error is proposed. The proposed method consists of a weighted addition and inverse filtering. The suitable weight for the weighted addition yielding the least uncertainty is derived by an equation using standard deviations of the datum profile, pitch motion and random error of the sensors.

Study on Isolation Monitoring of High-Voltage Battery System

2010 ◽  
Vol 44-47 ◽  
pp. 571-575 ◽  
Author(s):  
Chang Hao Piao ◽  
Teng Cong
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
High Voltage ◽  
Working Environment ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Battery System ◽  
High Voltage Battery ◽  
Pros And Cons ◽  
Working Principle

After comparing the pros and cons of various isolation monitoring methods, this article presents the isolation monitoring method which based on unbalanced bridge and the characteristics of high-voltage battery system. Battery is an important component for Hybird-electric vehicle. The safety of high-voltage battery system is important specification for Hybird-electric vehicle. This device which uses Freescale’s 16-bit microcontroller with CAN communications capabilities achieve real-time and accurate measurement of isolation resistance of high-voltage battery system. The article focuses on the working principle of the device, hardware design and software design. This device has high accuracy, real-time, reliability and good working environment adaptability. The measuring accuracy meets the requirement of actual project.

Pipeline Leak Detection Based on Double Sensor Negative Pressure Wave

2013 ◽  
Vol 313-314 ◽  
pp. 1225-1228 ◽  
Author(s):  
Chun Xia Hou ◽  
Er Hua Zhang
Keyword(s):  
False Alarm ◽  
Negative Pressure ◽  
Pressure Wave ◽  
Detection System ◽  
Low Frequency ◽  
Leak Detection ◽  
Frequency Component ◽  
Economic Losses ◽  
Single Sensor ◽  
Negative Pressure Wave

Pipeline leak lead to huge economic losses and environmental pollution. Leak detection system based on single sensor negative pressure wave often causes false alarm. In this paper the double sensor method is adopted to exclude false alarm by determining the propagation direction of the pressure wave. In order to remove the inverse coherent interference caused by pump running, the phase difference of primary low frequency component is used to identify the sign of the time delay between the double sensors. The experiment shows the mothod is effective.

The whisker sensor and the transmission of multiple sensor signals

1989 ◽  
Vol 4 (2) ◽  
pp. 105-117 ◽  
Author(s):  
Shigeo Hirose ◽  
Souichi Inoue ◽  
Kan Yoneda
Keyword(s):  
Sensor Signals ◽  
Multiple Sensor

scholarly journals Whisker sensor and transmission of the multiple sensor signals.

1988 ◽  
Vol 6 (2) ◽  
pp. 101-108 ◽  
Author(s):  
Shigeo HIROSE ◽  
Souichi INOUE ◽  
Kan YONEDA
Keyword(s):  
Sensor Signals ◽  
Multiple Sensor

scholarly journals On-Line Monitoring of Blind Fastener Installation Process

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1157
Author(s):  
Javier Camacho ◽  
Fernando Veiga ◽  
Mari Luz Penalva ◽  
Alberto Diez-Olivan ◽  
Lutz Deitert ◽  
...  
Keyword(s):  
Monitoring System ◽  
Special Interest ◽  
Online Monitoring ◽  
New Method ◽  
Back Side ◽  
Monitoring Method ◽  
Use Of Resources ◽  
On Line ◽  
Sensor Signals ◽  
Evaluation Outcome

Blind fasteners are of special interest for aircraft construction since they allow working on joints where only one side is accessible, as is the case in many common aerospace box-type structures, such as stabilizers and flaps. This paper aims to deliver an online monitoring method for the detection of incorrect installed blind fasteners. In this type of fastener, the back side of the assembly is not accessible, so monitoring the process installation is suitable as a system to assess the formed head at the back side with no access. The solution proposed consists of an on-line monitoring system that is based on sensor signals acquired during the installation. The signals are conveniently analyzed in order to provide an evaluation outcome on how the fastener was installed. This new method will help production to decrease/eliminate time and cost-intensive inspections and fasteners over installation in structures. The decrease of the number of installed fasteners will also contribute to weight savings and will reduce the use of resources.

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