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苗毅珂等：主成分和相关性分析在热泵系统运行数据挖掘中的融合应用 595
cations[J]. Applied Energy，2024，358：122667. [15] LI G N，XIONG C L，GAO J J，et al. Fault detection，diag-
[11] JEONG G，LEE H，CHOI W，et al. Deep learning-based pre nosis and calibration of heating，ventilation and air condi-
diction of oil reversal in R290 heat pump systems[J]. Energy， tioning sensors by combining principal component analysis
2025，320：135255. and improved bayesian inference[J]. Journal of Building
[12] YE W L，LIU Y，ZHOU Z Y，et al. Performance prediction Engineering，2024，82：108230.
of an auto-cascade refrigeration system using multiple-algo-
[16] 周英，卓金武，卞月青. 大数据挖掘：系统方法与实例分
rithmic approaches[J]. Energy，2025，314：134197.
析 [M]. 北京：机械工业出版社，2021：75−107.
[13] HU L L， MIAO Y K， FANG M， et al. Study on process
[17] MALLIK R，PURI S，BHANSALI A，et al. Defaulter detec-
monitoring optimization of air-source heat pump IoT plat-
tion based on Spearman correlation with hyper tuned SVM
form based on multivariate time series causal analysis[J].
classification for preventing non-performing assets occur-
Applied Thermal Engineering，2025，261：125188.
ring in bank [J/OL]. Multimedia Tools and Applications，
[14] ZHANG C，HOU B，MINXIA L，et al. Refrigerant charge
2024（2024-12-30）[2025-03-02]. https://link.springer.com/
estimation method based on data-physic hybrid-driven mod-
article/10.1007/s11042-024-20494-3#citeas.
el for the fault diagnosis of transcritical CO 2 heat pump sys-
tem[J]. Energy，2024，309：133144. （责任编辑：杨建斌）
引文信息：苗毅珂，胡露露，袁攀岗，等. 主成分和相关性分析在热泵系统运行数据挖掘中的融合应用[J]. 真空与低温，2025，
31（5）：587−595.
MIAO Y K，HU L L，YUAN P G，et al. The integrated application of principal component analysis and correlation analysis
in data mining of heat pump system operation[J]. Vacuum and Cryogenics，2025，31（5）：587−595.
