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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Predicting failures, preventing downtime: Real time data analytics for efficient predictive maintenance in the transportation sector

The record

Type
Publication
Date
31 July 2025
Level
International — held abroad
Journal
Aip Conference Proceedings
Volume
3327
Issue
1
Published
31 July 2025
DOI
10.1063/5.0289768
Scopus ID
105013360019
ISSN
0094243X
Authors
4
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
BD, IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 8.7 Eradicate forced labour, modern slavery, human trafficking and the worst forms of child labour

    TargetPrimaryHigh confidenceJudged

    Big data analytics enables predictive maintenance in transportation improving equipment reliability and reducing operational downtime.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.2 Industry and manufacturing

    Sub-themePrimaryHigh confidenceJudged

    Real-time analytics technology enhances manufacturing efficiency and asset management.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Predicting failures, preventing downtime: Real time data analytics for efficient predictive maintenance in the transportation sector”. Kortex.

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