Neural networks for quality prediction and closed-loop quality control in automotive industry

被引：0
|
作者：
Schnerr, O [1 ]
Michaeli, W [1 ]
机构：
[1] IKV, Inst Plast Proc, Aachen, Germany
来源：
CONFERENCE PROCEEDINGS AT ANTEC '98: PLASTICS ON MY MIND, VOLS I-3: VOL I; PROCESSING, VOL II; SPECIAL AREAS, VOL III; MATERIALS | 1998年 / 44卷
关键词：
D O I：
暂无
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
The increasing development of artificial intelligence offers the wide field of neural networks for quality prediction and closed-loop quality control for the injection moulding process. With the opportunity of modelling nonlinear and time-variant dependencies with high accuracy neural networks are suitable for the automotive industry with its high specifications on quality characteristics. The time-variant behaviour of the injection moulding process is highly relevant for closed-loop quality control. It can be modelled by using specific neural network algorithms.
引用
收藏
页码：660 / 664
页数：5
相关论文
共 50 条
  • [1] A Neural Network Model for Quality Prediction in the Automotive Industry
    Risan, Anders
    Msakni, Mohamed Kais
    Schutz, Peter
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V, 2021, 634 : 567 - 575
  • [2] Quality through closed-loop manufacturing
    Jesse, C
    [J]. AEROSPACE ENGINEERING, 2001, 21 (08) : 29 - 31
  • [3] CLOSED-LOOP CONTROL AND QUALITY OF CONTINUOUS GLUCOSE MONITOR DATA BASED ON PROSPECTIVE CLOSED-LOOP CLINICAL TRIAL
    Huyett, L. M.
    Harvey, R. A.
    Bevier, W.
    Zisser, H.
    Jovanovic, L.
    Dassau, E.
    Doyle, F. J., III
    [J]. DIABETES TECHNOLOGY & THERAPEUTICS, 2013, 15 : A11 - A11
  • [4] Closed-loop driver/vehicle model for automotive control
    Wenzel, TA
    Burnham, KJ
    Williams, RA
    Blundell, MV
    [J]. 18th International Conference on Systems Engineering, Proceedings, 2005, : 46 - 51
  • [5] Recovery of Dynamics and Function in Spiking Neural Networks with Closed-Loop Control
    Vlachos, Ioannis
    Deniz, Taskin
    Aertsen, Ad
    Kumar, Arvind
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2016, 12 (02)
  • [6] Speed Estimator in Closed-Loop Scalar Control Using Neural Networks
    Santos, T. H.
    Goedtel, A.
    Silva, S. A. O.
    Suetake, M.
    [J]. 2014 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2014, : 2570 - 2576
  • [7] A Closed-Loop Framework for Inference, Prediction, and Control of SIR Epidemics on Networks
    Hota, Ashish R.
    Godbole, Jaydeep
    Pare, Philip E.
    [J]. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 8 (03): : 2262 - 2278
  • [8] Quality is the Product is the Quality Information Management as a Closed-loop Process
    Guedler, Juergen
    Hahnen, Holger
    [J]. GET THE GOOD CRIS GOING: ENSURING QUALITY OF SERVICE FOR THE USER IN THE ERA, 2008, : 41 - 50
  • [9] Criteria to Evaluate Quality of Glycemic Control for Therapeutics and Closed-Loop Systems
    Rodbard, David
    [J]. DIABETES, 2017, 66 : A242 - A242
  • [10] Acoustic roller bearing diagnosis in a closed-loop quality control system
    Molitor, M
    Moldzio, M
    [J]. JOINT CONFERENCE - 1996: IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE & IMEKO TECHNICAL COMMITTEE 7, CONFERENCE PROCEEDINGS, VOLS I AND II: QUALITY MEASUREMENTS: THE INDISPENSABLE BRIDGE BETWEEN THEORY AND REALITY (NO MEASUREMENTS? NO SCIENCE!), 1996, : 654 - 657
12345