Aeroengine performance degradation prediction method considering operating conditions Article Swipe
Bangcheng Zhang
,
Shuo Gao
,
Zhong Zheng
,
Guanyu Hu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2023.09.001
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2023.09.001
It is significant to predict the performance degradation of complex electromechanical systems.Among the existing performance degradation prediction models, belief rule base (BRB) is a model that deal with quantitative data and qualitative information with uncertainty.However, when analyzing dynamic systems where observable indicators change frequently over time and working conditions, the traditional belief rule base (BRB) can not adapt to frequent changes in working conditions, such as the prediction of aeroengine performance degradation considering working condition.For the sake of settling this problem, this paper puts forward a new hidden belief rule base (HBRB) prediction method, in which the performance of aeroengines is regarded as hidden behavior, and operating conditions are used as observable indicators of the HBRB model to describe the hidden behavior to solve the problem of performance degradation prediction under different times and operating conditions.The performance degradation prediction case study of turbofan aeroengine simulation experiments proves the advantages of HBRB model, and the results testify the effectiveness and practicability of this method.Furthermore, it is compared with other advanced forecasting methods.The results testify this model can generate better predictions in aspects of accuracy and interpretability.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3837/tiis.2023.09.001
- OA Status
- diamond
- References
- 29
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- 10
- OpenAlex ID
- https://openalex.org/W4396775144
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https://openalex.org/W4396775144Canonical identifier for this work in OpenAlex
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https://doi.org/10.3837/tiis.2023.09.001Digital Object Identifier
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Aeroengine performance degradation prediction method considering operating conditionsWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-09-30Full publication date if available
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Bangcheng Zhang, Shuo Gao, Zhong Zheng, Guanyu HuList of authors in order
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https://doi.org/10.3837/tiis.2023.09.001Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.3837/tiis.2023.09.001Direct OA link when available
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Degradation (telecommunications), Reliability engineering, Environmental science, Computer science, Materials science, Engineering, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.degradation | 7, 15, 71, 128, 137 |
| abstract_inverted_index.experiments | 145 |
| abstract_inverted_index.forecasting | 169 |
| abstract_inverted_index.information | 32 |
| abstract_inverted_index.methods.The | 170 |
| abstract_inverted_index.performance | 6, 14, 70, 97, 127, 136 |
| abstract_inverted_index.predictions | 178 |
| abstract_inverted_index.qualitative | 31 |
| abstract_inverted_index.significant | 2 |
| abstract_inverted_index.traditional | 50 |
| abstract_inverted_index.quantitative | 28 |
| abstract_inverted_index.condition.For | 74 |
| abstract_inverted_index.effectiveness | 157 |
| abstract_inverted_index.systems.Among | 11 |
| abstract_inverted_index.conditions.The | 135 |
| abstract_inverted_index.practicability | 159 |
| abstract_inverted_index.electromechanical | 10 |
| abstract_inverted_index.interpretability. | 184 |
| abstract_inverted_index.method.Furthermore, | 162 |
| abstract_inverted_index.uncertainty.However, | 34 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.22847767 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |