Explaining a Random Forest With the Difference of Two ARIMA Models in an Industrial Fault Detection Scenario

Author:

Glock Anna-Christina

Funder

AC2T research GmbH

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Toward new-generation intelligent manufacturing;Zhou;Engineering,2018

2. Tacklingfaults in the industry 4.0 era—a survey of machine-learning solutions and key aspects;Angelopoulos;Sensors,2019

3. F. Peter, M. Nijat, Xai 4.0 - explainable artificial intelligence für industrie 4.0, DFKI - Deutsches Forschungszentrum für Künstliche Intelligenz. URL https://www.dfki.de/web/news-media/news-events/events/hannover-messe-2019/xai-40/

4. Darpa’s explainableartificial intelligence program;Gunning;AI Magazine,2019

5. R. S, Explainable machine learning — 5 must read papers, Medium. URL https://medium.com/0rsl34/explainable-machine-learning-5-must-read-papers-95660d9f0c72

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