The imputation of missing data in aeroengines based on a new trajectory similarity evaluation method

Qiao Liu and Xianghua Huang

Reliability Engineering and System Safety, 2025, vol. 264, issue PB

Abstract: Acquiring high-quality data is essential for aeroengine health management, ensuring engine safety and reliability. However, during data acquisition and storage, some data may be lost due to sensor damage, server failures, and human factors. A new trajectory similarity evaluation method is proposed to impute aeroengine missing data. First, a new algorithm called variable-weight parameter warping (VPW) is introduced to optimize cross-sectional alignment, along with a new filter called variable window filtering that accounts for parameter dispersion from individual differences. These two algorithms help identify the segment closest to the missing data on each engine's sample library to create a similar trajectory library. Next, a novel trajectory similarity evaluation metric is proposed, which comprehensively measures the similarity from multiple dimensions, including VPW value, window length and window position. Finally, the proposed method's effectiveness is validated using the turbofan engine simulation dataset. The results show that not only the imputed data accurately fit the original data, but also the RMSE and Score of the RUL prediction result with the imputed data as input are 12.71 and 325, closely matching the RMSE of the original data at 12.76 and Score at 324, showing the same functionality as the original data.

Keywords: Data imputation; Engines with dispersedly clumped parameters; Variable-weight parameter warping; Variable window filtering; Trajectory similarity evaluation; Correlation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832025005964
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:264:y:2025:i:pb:s0951832025005964

DOI: 10.1016/j.ress.2025.111395

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().