Original paper
Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network
Abstract
In order to increase the diagnostic accuracy of ground-source heat pump (GSHP) system, especially for multiple-simultaneous faults, the paper proposes a multi-source information fusion based fault diagnosis methodology by using Bayesian network, due to the fact that it is considered to be one of the most useful models in the filed of probabilistic knowledge representation and reasoning, and can deal with the uncertainty problem of fault...
Paper Details
Title
Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network
Published Date
Feb 1, 2014
Journal
Volume
114
Pages
1 - 9
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History