Odnoj iz osnovnyh prichin slepoty i slabovideniya u lic starshego trudosposobnogo vozrasta yavlyaetsya vozrastnaya makulyarnaya degeneraciya (VMD), dlya diagnostiki kotoroj krajne vazhny rezul'taty opticheskoj kogerentnoj tomografii (OKT). Sozdanie rekomendatel'noj sistemy analiza OKT-snimkov pozvolit sokratit' vremya na obrabotku vizual'noj informacii snizit' veroyatnost' oshibok v processe ra...

Recently, variational mode decomposition (VMD) has attracted wide attention on mechanical vibration signal analysis. However, there are still some dilemmas in the application of VMD, such as determination number K and quadratic penalty term α. In order to acquire appropriate parameters an improved parameter-adaptive VMD method based grey wolf optimizer (GWO) is developed by taking minimum avera...

Accurate estimation of the state-of-health (SOH) lithium-ion batteries is a crucial reference for energy management battery packs electric vehicles. It great significance in ensuring safe and reliable operation while reducing maintenance costs system. To eliminate nonlinear effects caused by factors such as capacity regeneration on SOH sequence improve prediction accuracy stability SOH, model b...

Abstract Due to complex operation of microgrid and the difficulty extracting thin fault signal features, traditional relay protection will take misoperation protect. This article proposes a detection method based on VMD-MPE accurate detection. scheme processes current through VMD algorithm that decomposes it different modes. Considering MPE has advantage exploring dynamic mutation within faint ...

This paper presents a vibration control method for the suppression of robotic arm. To understand causes in six-axis manipulator and then eliminate through an effective method, structure can be divided into two parts. First, variational mode decomposition (VMD) Hilbert–Huang transform (HHT) algorithm are integrated to analyze signal extract characteristics. Second, smooth trajectory planning is ...

These studies deal with analysis and selection of neural networks various architectures hybrid models, which include networks, to predict the market value shares in stock a country that is process unstable development. Analysis forecasting such markets cannot be carried out using classical methods. The relevance research topic due need develop software systems implement algorithmic support for ...

The variational mode decomposition (VMD) method has been widely applied in the field of mechanical fault diagnosis as an excellent non-recursive signal processing tool. performance VMD depends on its inherent prior parameters. Searching for key parameters using intelligent optimization algorithms poses challenges internal essence and fitness function selection algorithm. Moreover, computational...