Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data
This study addresses the challenge of predicting the airtightness of stratospheric airship envelopes, a critical factor influencing flight performance. Traditional ground-based airtightness tests often rely on limited resources and empirical formulas. To overcome these limitations, this paper explor...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Forecasting |
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| Online Access: | https://www.mdpi.com/2571-9394/7/2/28 |
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| author | Yitong Bi Wenkuan Xu Lin Song Molan Yang Xiangqiang Zhang |
| author_facet | Yitong Bi Wenkuan Xu Lin Song Molan Yang Xiangqiang Zhang |
| author_sort | Yitong Bi |
| collection | DOAJ |
| description | This study addresses the challenge of predicting the airtightness of stratospheric airship envelopes, a critical factor influencing flight performance. Traditional ground-based airtightness tests often rely on limited resources and empirical formulas. To overcome these limitations, this paper explores the use of predictive models to integrate multi-source test data, enhancing the accuracy of airtightness assessments. A performance comparison of various prediction models was conducted using ground-based test data from a specific stratospheric airship. Among the models evaluated, the NeuralProphet model demonstrated superior accuracy in long-term airtightness predictions, effectively capturing time-series dependencies and spatial interactions with environmental conditions. This work introduces an innovative approach to modeling airtightness, providing both experimental and theoretical contributions to the field of stratospheric airship performance prediction. |
| format | Article |
| id | doaj-art-2f0a73fd302d48e2b3e8e9491942d6c8 |
| institution | OA Journals |
| issn | 2571-9394 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forecasting |
| spelling | doaj-art-2f0a73fd302d48e2b3e8e9491942d6c82025-08-20T02:20:57ZengMDPI AGForecasting2571-93942025-06-01722810.3390/forecast7020028Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series DataYitong Bi0Wenkuan Xu1Lin Song2Molan Yang3Xiangqiang Zhang4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaThis study addresses the challenge of predicting the airtightness of stratospheric airship envelopes, a critical factor influencing flight performance. Traditional ground-based airtightness tests often rely on limited resources and empirical formulas. To overcome these limitations, this paper explores the use of predictive models to integrate multi-source test data, enhancing the accuracy of airtightness assessments. A performance comparison of various prediction models was conducted using ground-based test data from a specific stratospheric airship. Among the models evaluated, the NeuralProphet model demonstrated superior accuracy in long-term airtightness predictions, effectively capturing time-series dependencies and spatial interactions with environmental conditions. This work introduces an innovative approach to modeling airtightness, providing both experimental and theoretical contributions to the field of stratospheric airship performance prediction.https://www.mdpi.com/2571-9394/7/2/28stratosphere airshipairtightnesstime series prediction |
| spellingShingle | Yitong Bi Wenkuan Xu Lin Song Molan Yang Xiangqiang Zhang Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data Forecasting stratosphere airship airtightness time series prediction |
| title | Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data |
| title_full | Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data |
| title_fullStr | Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data |
| title_full_unstemmed | Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data |
| title_short | Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data |
| title_sort | prediction of airtightness performance of stratospheric ships based on multivariate environmental time series data |
| topic | stratosphere airship airtightness time series prediction |
| url | https://www.mdpi.com/2571-9394/7/2/28 |
| work_keys_str_mv | AT yitongbi predictionofairtightnessperformanceofstratosphericshipsbasedonmultivariateenvironmentaltimeseriesdata AT wenkuanxu predictionofairtightnessperformanceofstratosphericshipsbasedonmultivariateenvironmentaltimeseriesdata AT linsong predictionofairtightnessperformanceofstratosphericshipsbasedonmultivariateenvironmentaltimeseriesdata AT molanyang predictionofairtightnessperformanceofstratosphericshipsbasedonmultivariateenvironmentaltimeseriesdata AT xiangqiangzhang predictionofairtightnessperformanceofstratosphericshipsbasedonmultivariateenvironmentaltimeseriesdata |