Applying Neural Networks for Tire Pressure Monitoring Systems

Q2 Engineering

SDHM Structural Durability and Health Monitoring Pub Date : 2019-01-01 DOI:10.32604/SDHM.2019.07025

A. Kost, Wael A. Altabey, Mohammad Noori, Taher Awad

引用次数: 19

Abstract

Applying Neural Networks for Tire Pressure Monitoring Systems

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神经网络在胎压监测系统中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SDHM Structural Durability and Health Monitoring Engineering-Building and Construction

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： In order to maintain a reasonable cost for large scale structures such as airframes, offshore structures, nuclear plants etc., it is generally accepted that improved methods for structural integrity and durability assessment are required. Structural Health Monitoring (SHM) had emerged as an active area of research for fatigue life and damage accumulation prognostics. This is important for design and maintains of new and ageing structures.