Multidimensional Signal Analysis for Technical Condition, Operation and Performance Understanding of Heavy Duty Mining Machines-Reference-Cited by-同舟云学术

Multidimensional Signal Analysis for Technical Condition, Operation and Performance Understanding of Heavy Duty Mining Machines

Published:2015-07-17 Issue: Volume: Page:197-210
ISSN:2363-698X
Container-title:Applied Condition Monitoring
language:
Short-container-title:

Author:

Stefaniak Pawel K.,Zimroz Radoslaw,Sliwinski Pawel,Andrzejewski Marek,Wyłomanska Agnieszka

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-20463-5_15

Reference21 articles.

1. Description of SMIFU project. http://www.rocktechcentre.se/core-business/smifu/

2. The I2Mine Website (Innovative Technologies and Concepts for the Intelligent Deep Mine of the Future), i2mine.eu/‎

3. http://www.nrcan.gc.ca/mining-materials/green-mining/8178 , Website of Natural Recourses of Canada

4. http://www.green-mines.eu/

5. Andrzejewski M, Sliwinski P, Zimroz R (2014) Monitoring Samojezdnych Maszyn Gorniczych, jako narzedzie do optymalizacji procesu wydobycia urobku w kopalniach KGHM Polska Miedz S.A. Proceedings of the 23rd School of Underground Mining, Krakow, 24–28/02/2014 / Instytut Gospodarki Surowcami Mineralnymi i Energia Polskiej Akademii Nauk, Katedra Gornictwa Podziemnego. Akademia Gorniczo-Hutnicza. Krakow : Szkola Eksploatacji Podziemnej, pp 1–10

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