Learning Behaviour Models of Discrete Event Production Systems from Observing Input/Output Signals-Reference-Cited by-同舟云学术

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Learning Behaviour Models of Discrete Event Production Systems from Observing Input/Output Signals

Published:2015 Issue:3 Volume:48 Page:1565-1572
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Ladiges Jan,Haubeck Christopher,Fay Alexander,Lamersdorf Winfried

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference21 articles.

1. Unsupervised process monitoring and fault diagnosis with machine learning methods;Aldrich,2013

2. Anomaly Detection Using Model Generation for Event-Based Systems Without a Preexisting Formal Model;Allen;IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans,2012

3. Mining Specifications;Ammons,2002

4. Discrete, continuous, and hybrid Petri Nets;David,2010

5. Practice of Petri Nets in Manufacturing;DiCesare,1993

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1. Test-based behaviour model derivation and adaption to enable automated test case scheduling for automated production systems;Production Engineering;2024-05-31

2. Predictive Modeling of Software Behavior Using Machine Learning;IEEE Access;2024

3. Learning from Evolution for Evolution;Managed Software Evolution;2019

4. Using model differencing to reason about observable behavior changes of manufacturing systems;at - Automatisierungstechnik;2018-10-17

5. Automated Partitioning of Concurrent Discrete-Event Systems for Distributed Behavioral Identification;IEEE Transactions on Automation Science and Engineering;2018-04

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