Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes-Reference-Cited by-同舟云学术

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Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes

Published:2022-12-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
language:
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Author:

Valis D.¹,Gajewski J.²,Forbelska M.³,Jonak J.²

Affiliation:

1. University of Defence,Department of Combat and Special Vehicles,Brno,Czech Republic

2. Lublin University of Technology,Department of Machine Design and Mechatronics,Lublin,Poland

3. Mendel University in Brno,Department of Statistics and Operational Research,Brno,Czech Republic

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989527/9989519/09989766.pdf?arnumber=9989766

Reference21 articles.

1. Discussion on importance of tungsten carbide - cobalt (wc-co) cemented carbide and its critical characterization for wear mechanisms based on mining applications;nahak;Archives of Mining Sciences,2018

2. Durability and tool wear investigation of HSSE-PM milling cutters within long-term tests

3. Applying a population growth model to simulate wear of rough surfaces during running-in

4. The inverse Gamma process: A family of continuous stochastic models for describing state-dependent deterioration phenomena

5. Degrading systems availability analysis: analytical semi-Markov approach

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