scholarly journals Optimal Strategy to Select Load Identification Features by Using a Particle Resampling Algorithm

2019 ◽  
Vol 9 (13) ◽  
pp. 2622 ◽  
Author(s):  
He ◽  
Lin ◽  
Xiao ◽  
Qian ◽  
Zhou
Keyword(s):  
Feature Extraction ◽  
Fuzzy Theory ◽  
Sliding Window ◽  
Monitoring Device ◽  
Load Identification ◽  
The Real ◽  
Serial Data ◽  
Resampling Method ◽  
Cumulative Sum Control ◽  
Cusum Method

This paper proposes a robust strategy to select the load identification features, which is based on particle resampling to promote the performance for the successive load identification. Firstly, the sliding window incorporated with the bilateral cumulative sum control chart (CUSUM) method is utilized to obtain the load event. Then, the minimum inner-class variance, using the time-serial data, is introduced to judge the happened time as precise as possible, thus marking the changing point of the state of load for the following feature extraction. Due to the fluctuating data of current and voltage sampled by the monitoring device, the particle resampling method, containing the importance principle, is applied to find the steady and effectiveness point, ensuring that the obtained features have the desired fit with its actual features. The fitness measurement is then carried out by using the 2-D fuzzy theory. Finally, the proposed method was tested on the real household measurements in the labs. The result demonstrates an improvement in obtaining the desired load features when applied to the real household for the following load identification.

Feature Extraction of Faulty Rolling Element Bearing Based on Time Synchronous Average and Cepstrum Edit

2014 ◽  
Vol 889-890 ◽  
pp. 666-670
Author(s):  
Zong Tao Li ◽  
Yan Gao ◽  
Xiang Zhou ◽  
Yu Guo
Keyword(s):  
Feature Extraction ◽  
Phase Spectrum ◽  
Rolling Element Bearing ◽  
The Real ◽  
Discrete Frequency ◽  
Rolling Element ◽  
Frequency Components ◽  
Element Bearing ◽  
Inverse Procedure

The cepstrum edit scheme for the vibration feature extraction of the faulty rolling element bearing (REB) is studied in this paper. By combined the time synchronous average (TSA) and the real cepstrum to localize and edit the cepstral lines of the original vibration, the unwanted discrete frequency components can be removed. Then, a corresponding inverse procedure is designed, in which the edited cepstrum and the original phase spectrum are employed to reconstruct the edited vibration for the REB feature extraction. Simulation verified the scheme positively.

scholarly journals Radiation Risk Assessment on Public in Motijheel Thana, Dhaka, Bangladesh

2021 ◽  
Vol 9 (1) ◽  
pp. 23-31
Author(s):  
Mohammed Belayet Hossain ◽  
Dr. Mohammad Sohelur Rahman ◽  
Dr. Mohammad Amir Hossain Bhuiyan ◽  
Selina Yeasmin
Keyword(s):  
Cancer Risk ◽  
Effective Dose ◽  
Real Time ◽  
Annual Effective Dose ◽  
Life Time ◽  
Radiation Monitoring ◽  
Radiation Hazard ◽  
Monitoring Device ◽  
The Real ◽  
Average Value

Objective: The pollution free environment is required for healthy life. The real-time radiation monitoring is very important for radiation hazard detection in the environment. The excess life-time cancer risk (ELCR) on public is to assess based on the real-time radiation monitoring data in the area. Methods: The real-time radiation monitoring was performed using portable digital radiation monitoring device. This real-time digital portable radiation monitoring device meets all European CE standards as well as the American “FCC 15 standard”. The real-time digital portable radiation monitoring device was placed at 1 meter above the ground on tripod and data collection time for each monitoring point (MP) was 1 hour. 27 MPs were chosen for collection of real-time radiation data at various outdoor environment in Motijheel Thana, Dhaka from May-August 2018.Results: The real-time radiation dose rates at Motijheel Thana due to natural radionuclides were ranged from 0.095 ± 0.041 µSv.h-1 to 0.185 ± 0.042 µSv.h-1 with an average of 0.147 ± 0.047 µSv.h-1. The annual effective dose to public from outdoor environmental radiation at Motijheel Thana were found to be 0.166 ± 0.066 mSv to 0.324 ± 0.061 mSv with an average of 0.257 ± 0.039 mSv. Excess Life-time Cancer Risk (ELCR) on public are also estimated based on annual effective dose that is ranged from 0.662 ×10-3 to 1.289 ×10-3 with an average value of 1.025 ×10-3, which is higher than world average value of 0.29×10-3. Conclusion: This type of study is required for detection of the radiation hazard arising from the natu-ral as well as man-made sources and also for generation of the baseline database. From this study, it is observed that there is no pose any radiation hazard in the study area due to man-made sources.

scholarly journals Cross-Correlation Wavelet-Domain-Based Particle Swarm Optimization for Lightning Mapping

2021 ◽  
Vol 11 (18) ◽  
pp. 8634
Author(s):  
Ammar Alammari ◽  
Ammar Ahmed Alkahtani ◽  
Mohd Riduan Ahmad ◽  
Ahmed Aljanad ◽  
Fuad Noman ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Cross Correlation ◽  
Particle Swarm ◽  
Sliding Window ◽  
Event Extraction ◽  
Wavelet Domain ◽  
Estimation Errors ◽  
Swarm Optimization ◽  
Lightning Strikes ◽  
The Real

Several processing methods have been proposed for estimating the real pattern of the temporal location and spatial map of the lightning strikes. However, due to the complexity of lightning signals, providing accurate lightning maps estimation remains a challenging task. This paper presents a cross-correlation wavelet-domain-based particle swarm optimization (CCWD-PSO) technique for an accurate and robust representation of lightning mapping. The CCWD method provides an initial estimate of the lightning map, while the PSO attempts to optimize the trajectory of the lightning map by finding the optimal sliding window of the cross-correlation. The technique was further enhanced through the introduction of a novel lightning event extraction method that enables faster processing of the lightning mapping. The CCWD-PSO method was validated and verified using three narrow bipolar events (NBEs) flashes. The observed results demonstrate that this technique offers high accuracy in representing the real lightning mapping with low estimation errors.

Feature extraction for load identification by means of CPC in smart grid

MedPower 2014 ◽  
2014 ◽  
Author(s):  
Y. Beck ◽  
N. Calamero ◽  
G. Golan ◽  
A. Braunstein
Keyword(s):  
Feature Extraction ◽  
Smart Grid ◽  
Load Identification

scholarly journals Execution of Median Filter Built on FPGA for Trimming Noise Meeting the Real Time Requirements

2019 ◽  
Vol 8 (4) ◽  
pp. 7855-7858
Keyword(s):  
Real Time ◽  
Impulse Noise ◽  
Noise Suppression ◽  
Median Filter ◽  
Sliding Window ◽  
Spatial Filter ◽  
Effective Technique ◽  
The Real ◽  
Time Requirements ◽  
Suppression Process

As images plays a vital in all aspects, there is a need to met the real time requirements in processing the image. Major challenges raised in processing the image is noise. The utmost typical difficult is effective denoising creation as well as quick functioning in the processing of digital image noise suppression process for the need of real time consequences to afford image with high quality this project was introduced. Generally filters plays a major role to remove the impulse noise in acquired images. The filter named sliding window spatial filter which is familiar as median filter is effective technique to eradicate impulse noise from the devoleped image. But in real time, it is very difficult to execute. To overcome this, FPGA methodology is introduced to fulfills the support besides the optimization of major constraints like area, speed, power. In addition to this, it assures technical sustenance of eradicating noise in image as per requirements in real time. Regarding the design and structure appearances in FPGA, Xilinx software is used for simulation and code has been written in Verilog language.

Feature Extraction-Based Hellinger Distance Algorithm for Nonintrusive Aging Load Identification in Residential Buildings

2016 ◽  
Vol 52 (3) ◽  
pp. 2031-2039 ◽  
Author(s):  
Hsueh-Hsien Chang ◽  
Meng-Chien Lee ◽  
Wei-Jen Lee ◽  
Chao-Lin Chien ◽  
Nanming Chen
Keyword(s):  
Feature Extraction ◽  
Residential Buildings ◽  
Hellinger Distance ◽  
Load Identification

General Concept of the EMG Controlled Bionic Hand

2020 ◽  
Vol 8 (1) ◽  
pp. 26-34
Author(s):  
Adam Pieprzycki ◽  
Daniel Król
Keyword(s):  
Machine Learning ◽  
Feature Extraction ◽  
Control System ◽  
Embedded System ◽  
Real Time ◽  
General Concept ◽  
System Implementation ◽  
The Real ◽  
Emg Signal ◽  
Hand Control

The article presents a general concept of a bionic hand control system using a multichannel EMG signal, being under development at present. The method of acquisition and processing of multi-channel EMG signal and feature extraction for machine learning were described. Moreover, the design of the control system implementation in the real-time embedded system was discussed.

scholarly journals An Online Degradation Feature Extraction Technique for Shore Bridge Gearbox Based on Morphological Fractal Dimension and Sliding Window Weibull Fitting

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dejian Sun ◽  
Bing Wang ◽  
Xiong Hu ◽  
Wei Wang
Keyword(s):  
Feature Extraction ◽  
Fractal Dimension ◽  
Energy Spectrum ◽  
Scale Parameter ◽  
Sliding Window ◽  
Performance Degradation ◽  
Extraction Technique ◽  
Vibration Energy ◽  
Fractal Curve ◽  
Feature Extraction Technique

Shore bridge and other port cranes have some working condition characters including high speed, heavy load, and large impact. In order to solve the degradation feature extraction issue of hoisting mechanism gearbox, an online degradation feature extraction technique based on morphological fractal dimension and sliding window Weibull fitting is proposed. Firstly, taking the vibration energy spectrum collecting from the gearbox as the online data source, the fractal dimension of the vibration energy spectrum during an analysis period is calculated and a fractal evolution curve is obtained. A three-parameter Weibull fitting on the fractal curve within a sliding window after setting the window’s width and step size is performed. The scale parameter of the Weibull fitting model is introduced as the performance degradation feature. The effectiveness of the technique is verified by the full-life vibration data of hoisting gearbox from Shanghai Port Group. The results show that the morphological fractal dimension is able to describe the fractal complexity of the vibration energy spectrum. The scale parameter of Weibull distribution is able to reflect the performance degradation trend of fractal curve smoothly, which lays a theoretical foundation for further solving the problem of online health assessment.

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