Data · dataset · 2026
Device-Wise Conformal Calibration of Nonnegative IGBT Remaining-Life Intervals for Power-Electronic Systems under Limited Accelerated-Aging Data
Listed in Teesside University Research Data Repository
Description
This dataset contains derived processed data, window manifests, model evaluation outputs, plotting figures, configuration files, and reproducibility scripts supporting a study on nonnegative remaining useful life (RUL) interval prediction for insulated-gate bipolar transistor (IGBT) prognostics under limited accelerated-aging data. The experiments use the public NASA IGBT accelerated-aging dataset and evaluate leave-one-device-out prediction, Deep Ensemble-TCN, Monte Carlo Dropout-TCN, GRU baselines, split conformal calibration, and device-wise conformal max calibration.
This package does not redistribute the raw NASA source archive. The source data are publicly available from the NASA Open Data Portal: data.nasa.gov/dataset/insulated-gate-bipolar-transistor-igbt-accelerated-aging. NASA Open Data identifier: 7wwx-fk77.
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The included processed tables and result files support reproducibility of the manuscript tables, figures, and core interval-calibration comparisons.
Links
Where it is published
- DOI doi.org/10.17632/dwk3778kgv.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Electrical engineering · Energy · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/dwk3778kgv.2 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4008 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Electrical Engineering'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:energy | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |