Automated ai-based leak detection

被引：0
|
作者：
Dierolf C. [1 ]
Sauer A. [2 ]
机构：
[1] Institut für EEP, Fraunhofer-Institut für Produktionstechnik und Automatisierung, IPA Nobelstr. 12, Stuttgart
[2] Universität Stuttgart, Institut für Energieeffizienz in der Produktion EEP, Nobelstr. 12, Stuttgart
来源：
WT Werkstattstechnik | 2021年 / 111卷 / 03期
关键词：
D O I：
10.37544/1436-4980-2021-03-60
中图分类号：
学科分类号：
摘要：
Though incurring substantial costs every year, compressed air leakages still cannot be detected automatically and without much effort. This paper presents a method for an automated AI-based leak detection system, which is applied to a com - pressed air laboratory demonstrator. First validations of the approach show what potential and challenges there are in the leakage management of compressed air machines. © 2021, VDI Fachmedien GmBbH & Co.. All rights reserved.
引用
收藏
页码：152 / 158
页数：6
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