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Applicable Predictive Maintenance Diagnosis Methods in Service-Life Prediction of District Heating Pipes Cover

Applicable Predictive Maintenance Diagnosis Methods in Service-Life Prediction of District Heating Pipes

Environmental and Climate Technologies
Volume 24 (2020): Issue 3 (November 2020)
By:  and    
Open Access
|Dec 2020
Authors

Authors

Pakdad Pourbozorgi Langroudi

pakdad.langroudi@hcu-hamburg.de

HafenCity University Hamburg, Hamburg, Germany

Ingo Weidlich

HafenCity University Hamburg, Hamburg, Germany
DOI: https://doi.org/10.2478/rtuect-2020-0104 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208
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Language: English
Page range: 294 - 304
Published on: Dec 14, 2020
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Artificial neural networks,
asset management,
condition-based maintenance,
machine learning,
proactive maintenance,
system reliability
Related subjects:
Life sciences,
Life sciences, other

© 2020 Pakdad Pourbozorgi Langroudi, Ingo Weidlich, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 24 (2020): Issue 3 (November 2020)
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