Remaining Useful Lifetime Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• PHMD: An easy data access tool for prognosis and health management datasets
  22 Jan 2024 1 repository listed
  This work introduces a comprehensive open-source Python library designed for seamless access and handling of Prognostics and Health Management (PHM) datasets.
• Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
  30 Dec 2022 1 repository listed
  The main objective of Prognostics and Health Management is to estimate the Remaining Useful Lifetime (RUL), namely, the time that a system or a piece of equipment is still in working order before starting to function…
• Variational encoding approach for interpretable assessment of remaining useful life estimation
  23 Feb 2022 1 repository listed
  However, most of them lack an explanatory component to understand model learning and/or the nature of the data.
• Knowledge Informed Machine Learning using a Weibull-based Loss Function
  4 Jan 2022 1 repository listed
  Machine learning can be enhanced through the integration of external knowledge.
• A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
  24 Nov 2021 1 repository listed
  This paper presents the data-driven techniques and methodologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature.
• A stacked DCNN to predict the RUL of a turbofan engine
  24 Nov 2021 1 repository listed
  This paper presents the data-driven techniques and methodologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature.
• Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
  19 Aug 2021 1 repository listed
  Previous work on SSL evaluated their approaches under unrealistic conditions where the data near failure was still available.