Results 1 to 10 of about 1,418,610 (267)

A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm [PDF]

open access: yesSensors, 2022
The failure of insulators may seriously threaten the safe operation of the power system, where the state detection of high-voltage insulators is a must for the normal and safe operation of the power system.
Lepeng Song   +5 more
doaj   +2 more sources

Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction

open access: yesSensors, 2022
Vibration signal analysis of the traction machine is an important part of the current rotating machinery state recognition technology, and its feature extraction is the most critical step.
Dongyang Li, Jianyi Yang, Yong Liu
doaj   +1 more source

Recognition and Analysis of Sports on Mental Health Based on Deep Learning

open access: yesFrontiers in Psychology, 2022
This paper presents the purpose of sport recognition of mental health for users and analyzes and studies the recognition of mental health by sports based on deep learning.
LingSong Li, HaiXia Li
doaj   +1 more source

Use of Dynamic Time Warping for Description of Combustion Process in a Biomass Boiler

open access: yesActa Technologica Agriculturae, 2022
The efficient biomass energy use is a key prerequisite for the implementation of renewable energy development strategies on a regional level. For the highly efficient energy use in the combustion process, it is necessary to properly regulate the process ...
Kucín Martin   +3 more
doaj   +1 more source

State Identification of Transformer Under DC Bias Based on Wavelet Singular Entropy

open access: yesIEEE Access, 2021
To identify the DC bias state of transformers, a DC bias state identification method of transformer based on wavelet singular entropy is proposed in this paper. The vibration principle of transformers under DC bias has been analyzed.
Jun Liu   +7 more
doaj   +1 more source

Detection of Centistes sp. (Hymenoptera, Braconidae) from intercepted Diabrotica undecimpunctata (Coleoptera, Chrysomelidae) using CO1 DNA barcodes and larval morphology [PDF]

open access: yesJournal of Hymenoptera Research, 2022
Globalized trade has resulted in the incidental translocation of numerous insect species, some of which have become invasive in their expanded ranges. While rigorous inspection programs are a regular part of commodity importation, rarely if ever are the ...
Christina R. Wilson   +3 more
doaj   +3 more sources

Circuit Breaker Energy Storage State Identification Based on Quick Extraction of Vibration Signal Interval Features

open access: yesZhongguo dianli, 2021
The vibration signal based circuit breaker faults diagnosis has the problem of time-consuming in feature extraction and poor real-time, which makes the method inapplicable to on-line monitoring.
Xiaofei XIA, Yufeng LU, Yi SU, Jian YANG
doaj   +1 more source

DEVELOPMENT OF A METHOD FOR IDENTIFYING THE STATE OF A COMPUTER SYSTEM USING FUZZY CLUSTER ANALYSIS

open access: yesСучасні інформаційні системи, 2020
The subject of this article is the study of methods for identifying the state of computer systems. The purpose of the article is to develop a method for identifying the abnormal state of a computer system based on fuzzy cluster analysis.
Svitlana Gavrylenko   +3 more
doaj   +1 more source

A state recognition method for substation protection plate based on HSI color characteristics

open access: yesZhejiang dianli, 2023
The process of identifying substation protection plates faces challenges due to the complex lighting factors that are often inadequately considered. Furthermore, connected domain adhesion during image segmentation tends to be overlooked.
YIN Zhimin   +6 more
doaj   +1 more source

An Adaptive Fusion Convolutional Denoising Network and Its Application to the Fault Diagnosis of Shore Bridge Lift Gearbox

open access: yesMachines, 2022
Traditional fault diagnosis methods are limited in the condition detection of shore bridge lifting gearboxes due to their limited ability to extract signal features and their sensitivity to noise.
Rongqiang Zhao, Xiong Hu
doaj   +1 more source

Home - About - Disclaimer - Privacy