The data distribution of the vibration signal under different speed conditions gearbox is different, which leads to reduced accuracy fault diagnosis. In this regard, paper proposes a deep transfer diagnosis algorithm combining adaptive multi-threshold segmentation and subdomain adaptation. First all, in acquisition stage, non-contact, easy-to-arrange, low-cost sound pressure sensor used collect...

Dipper throated optimization (DTO) algorithm is a novel with very efficient metaheuristic inspired by the dipper bird. DTO has its unique hunting technique performing rapid bowing movements. To show efficiency of proposed algorithm, tested and compared to algorithms Particle Swarm Optimization (PSO), Whale Algorithm (WOA), Grey Wolf Optimizer (GWO), Genetic (GA) based on seven unimodal benchmar...

Optimization problems in the Cloud Intrusion Detection System (CIDS) contain numerous conflicting objectives, uni-modal and multi-modal functions difficulty level varying between linear to non-linear limits. The Grey Wolf Optimizer (GWO) is a meta-heuristic technique that implemented based on social behavior of wolves their hunting behavior. Significant improvement exploration exploitation sear...

This article presents a classification method that utilizes impedance spectrum features and an enhanced K-means algorithm for Lithium-ion batteries. Additionally, parameter identification the fractional order model is proposed, which based on flow direction (FDA). In to reduce dimensionality of battery features, Pearson correlation coefficient employed analyze between features. The carried out ...

Traffic accidents on urban roads are a major cause of death despite the development traffic safety measures. However, prediction casualties in road has not been deeply explored previous research. Effective forecasting methods for can improve manner accident warnings, further avoiding unnecessary loss. This paper provides practicable model forecast problems, which ten variables, including time c...

In recent years, intelligent vehicles with cutting-edge vehicular applications have grown in popularity, enabling the growth of Vehicular Ad hoc Networks (VANETs). (VANETs) are a network that share and analyze real-time data require well-organized efficient delivery method. The stability clusters dynamic topology change VANETs major issues finding an optimal route amongst vehicles. cooperative ...

In order to solve the problem of low abnormal diagnosis rate self-powered power supply system, an improved grey wolf optimization-support vector machine (GWO-SVM) algorithm combined with maximal information coefficient (MIC) are proposed. First, feature sets 11 kinds monitoring data optimized and selected based on MIC for system. By eliminating redundant variables insensitive variables, variabl...

Metaheuristic algorithms are widely used for optimization in both research and the industrial community simplicity, flexibility, robustness. However, multi-modal is a difficult task, even metaheuristic algorithms. Two important issues that need to be handled solving problems (a) categorize multiple local/global optima (b) uphold these till ending. Besides, robust local search ability also prere...

China has resolved to pay more and attention the sustainability of ecological construction social development. The country proposed a low-carbon economy policy; development management enterprises are also actively responding call for economy. Through series innovations changes, it intends realize its own production business development, thereby promoting transformation optimization industrial i...

Abstract The construction of injection wells is one the direct methods artificial recharge and determining their optimal location important issues that are discussed in topics projects related to rehabilitation aquifers. In this research, a simulation–optimization model was proposed determine using Isogeometric analysis (IGA) numerical Grey wolf optimization algorithm (GWO). regard, first, grou...