The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system-Reference-Cited by-同舟云学术

The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system

Published:2021-01 Issue: Volume:151 Page:106948
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Cakir Mustafa,Guvenc Mehmet Ali,Mistikoglu Selcuk^ORCID

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference76 articles.

1. Comparision of the data matching performances of string similarity algorithms in big data;Aksoy;Mühendislik Bilimleri ve Tasarım Dergisi,2019

2. An introduction to kernel and nearest-neighbor nonparametric regression;Altman;American Statistician,1992

3. Assessment of corporate innovation capability with a data-mining approach: Industrial case studies;Altuntas;Computers and Industrial Engineering,2016

4. Analog Devices. (2009). Digital Accelorometer Data Sheet (p. 40). p. 40.

5. Gerçek Zamanlı Durum İzleme ve Arıza Teşhisi İçin Bağışık Akıllı Hesaplama Tekniklerinin Geliştirilmesi;Aydın,2011

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