Accurate tool wear prediction is of great significance to improve production efficiency, ensure product quality and reduce machining cost. This paper proposes a hybrid physics data-driven model-based fusion framework for tool wear prediction to …

Cardiac image synthesis and analysis are pivotal in modern healthcare for accurate diagnosis and treatment of cardiovascular conditions. This study introduces a pioneering approach—hybrid GAN with semantic resonance—for the generation and analysis …

In this paper, a method to perform the fault diagnosis of the drive system of vehicle-mounted hybrid excitation synchronous motors, combining particle swarm optimization and chimpanzee optimization algorithm (PSO-ChOA) with variational mode …

To improve the characteristics extraction ability and safety of the composite network model for car-following behavior, an improved composite network RD_BiLSTM_Attention (RDBLA), based on residual dense module (RDM), is proposed, and the …

DC microgrids are gaining more importance in maritime, aerospace, telecom, and isolated power plants for heightened reliability, efficiency, and control. Yet, designing a protective system for DC microgrids is challenging due to novelty and …

This paper proposes a data-driven energy management strategy (EMS) for a series hybrid electric tracked vehicle (SHETV). Firstly, according to the configuration characteristics of the SHETV powertrain, a simulation model for the development of …

There is an immediate requirement for a strategic semantically inclined, semantic web accommodating framework for disaster tweet classification and disaster document and newsfeed documents recommendation to perform disaster risk mitigation and …

The prospects of hybrid cars in modern conditions are shown. However, hybrid cars are more complex and more expensive than conventional cars. To provide a competitive price for hybrid vehicles, Mild Hybrid Electric Vehicles (MHEVs) have been …

In view of the increasing energy shortage and environmental pollution, the collection of friction charges to achieve the conversion of various natural energies and provide in-situ cathodic protection for metals is a significant challenge. Here, we …

Knowing the thermo-mechanical history of a part during its processing is essential to master the final properties of the product. During forming processes, several parameters can affect it. The development of a surrogate model makes it possible to …

American Axle & Manufacturing's electric powertrain technology powers AMG's first plug-in hybrid electric vehicle, the Mercedes-AMG GT 63 S E Performance. AAM supplies the electric drive unit for the rear axle, which together with the combustion …

Upcoming stringent greenhouse gas as well as pollutant emission limits demand for powertrain electrification throughout all vehicle applications. Demanding vehicle efficiency targets increase the requirements on the combustion engine in hybrid …

Rotary arm positioning rubber joint (hereinafter referred to as rubber joint) is an important component of railway vehicle which affects the stability and safety of the vehicle. So it’s of great significance to construct a high-precision …

Industries rely on the early and efficient detection of bearing faults to enhance the service life of three-phase induction motors. Various bearing health condition monitoring techniques have been proposed for years, majorly involving sound and/or …

The cable driving motion simulation platform takes the cable as the driving link. Because of the unidirectional force of the cable, the traditional parallel control scheme is no longer applicable. In order to realize the force-position hybrid …

The emergence of Industry 4.0 has heralded notable progress in manufacturing processes, utilizing sophisticated sensing and data analytics technologies to maximize efficiency. A vital component within this model is predictive maintenance, which is …

The performance of existing maneuvering target tracking methods for highly maneuvering targets in cluttered environments is unsatisfactory. This paper proposes a hybrid-driven approach for tracking multiple highly maneuvering targets, leveraging …