Thermal Load Model of a Proportional Solenoid Valve Based on Random Load Conditions

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Applying load profiles propagation to machine learning based electrical energy forecasting

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Summary: This paper introduces an innovative load forecasting approach using Load Profiles (LPs) to accurately model electrical energy and develop efficient forecasting systems. The study analyzes the power consumption in Algeria and applies temperature profiles to capture seasonal fluctuations. Short-term and mid-term load forecasting models are developed using Artificial Intelligence techniques, including a two-dimensional Convolutional Neural Network (CNN). The AI-based and LP-based models both achieve high prediction accuracies, with the two-dimensional CNN producing the best results.

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A critical review on the solenoid valve reliability, performance and remaining useful life including its industrial applications

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Summary: This article thoroughly reviews the literature to take into account the vital operational characteristics of electromagnetic solenoid valves (SVs), including reliability, performance and remaining useful life (RUL). The significance of coil insulation on SV reliability and performance is also highlighted. It also provides a summary of existing research efforts in automotive and other industrial applications of SVs, particularly in the electric and hybrid vehicle industry. The aim of this work is to bridge the existing research gaps and communicate past and present developments to researchers.

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Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm

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Application of particle filter technique to online prognostics for solenoid valve

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Thermal Load Model of a Proportional Solenoid Valve Based on Random Load Conditions

Related references

Applying load profiles propagation to machine learning based electrical energy forecasting

A critical review on the solenoid valve reliability, performance and remaining useful life including its industrial applications

Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm

Research and Development of Electro-hydraulic Control Valves Oriented to Industry 4.0: A Review

Sensor-Networked Underwater Target Tracking Based on Grubbs Criterion and Improved Particle Filter Algorithm

Application of particle filter technique to online prognostics for solenoid valve

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