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
相关论文
共 50 条
  • [21] Automated VLBI scheduling using AI-based parameter optimization
    Matthias Schartner
    Christian Plötz
    Benedikt Soja
    Journal of Geodesy, 2021, 95
  • [22] AI-Based Intrusion Detection System for Secure AI BOX Applications
    Chen, Jiann-Liang
    Chen, Zheng-Zhun
    Chang, Youg-Sheng
    Li, Ching-Iang
    Kao, Tien-I
    Lin, Yu-Ting
    Xiao, Yu-Yi
    Qiu, Jian-Fu
    2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC, 2023, : 360 - 364
  • [23] Detection of Adversarial Attacks in AI-Based Intrusion Detection Systems Using Explainable AI
    Tcydenova, Erzhena
    Kim, Tae Woo
    Lee, Changhoon
    Park, Jong Hyuk
    HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2021, 11
  • [24] Detection of Adversarial Attacks in AI-Based Intrusion Detection Systems Using Explainable AI
    Tcydenova, Erzhena
    Kim, Tae Woo
    Lee, Changhoon
    Park, Jong Hyuk
    Human-centric Computing and Information Sciences, 2021, 11
  • [25] AI-Based Malicious Network Traffic Detection in VANETs
    Lyamin, Nikita
    Kleyko, Denis
    Delooz, Quentin
    Vinel, Alexey
    IEEE NETWORK, 2018, 32 (06): : 15 - 21
  • [26] Explainability in AI-based behavioral malware detection systems
    Galli, Antonio
    La Gatta, Valerio
    Moscato, Vincenzo
    Postiglione, Marco
    Sperli, Giancarlo
    COMPUTERS & SECURITY, 2024, 141
  • [27] AI-based Intrusion Detection for Intelligence Internet of Vehicles
    Man, Dapeng
    Zeng, Fanyi
    Lv, Jiguang
    Xuan, Shichang
    Yang, Wu
    Guizani, Mohsen
    IEEE CONSUMER ELECTRONICS MAGAZINE, 2023, 12 (01) : 109 - 116
  • [28] AI-based Detection of Pest Infected Crop and Leaf
    Ahmed, Mustafa
    Mahajan, Tushar
    Sharma, Bhupender Datt
    Kumar, Mahendra
    Singh, Sandeep Kumar
    ICSPC'21: 2021 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICPSC), 2021, : 402 - 406
  • [29] AI-based novelty detection in crowdsourced idea spaces
    Just, Julian
    Stroehle, Thomas
    Fueller, Johann
    Hutter, Katja
    INNOVATION-ORGANIZATION & MANAGEMENT, 2024, 26 (03): : 359 - 386
  • [30] AI-based fruit identification and quality detection system
    Goyal, Kashish
    Kumar, Parteek
    Verma, Karun
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (16) : 24573 - 24604
12345