Predictive maintenance approaches: A systematic literature review
Taoufyq, Hicham, El Guemmat, Kamal, Mansouri, Khalifa, Akef, Fatiha
- ISSN / E-ISSN
- — / —
- DOI
- 10.3926/jiem.8537 ↗
- Volume · Issue · Pages
- 18 · 3 · —
- Publisher
- OmniaScience (Omnia Publisher SL)
- Article URL
- http://www.jiem.org/index.php/jiem/article/view/8537 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
22 Sep 2025
Publisher publication date · source: Journal websites (OAI-PMH feeds of Open Journal Systems)
| Type | Date | Source |
|---|---|---|
| Publisher publication date | 22 Sep 2025 | Journal websites (OAI-PMH feeds of Open Journal Systems) |
Keywords (as given): Predictive Maintenance; Industry 4.0; Machine Learning; Deep Learning; Predictive maintenance, data-driven models, physics-based models, knowledge-based models, industry 4.0.
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
Best available information, not a definitive status: Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
- Journal
- Journal of Industrial Engineering and Management
- Publication date used
- 22 Sep 2025 (Publisher publication date)
- Applicable HEC period
- 2024–25 (version 1) · 01 Oct 2024 – 31 Mar 2026
- Category
- —
- Recognition status
- Pending Verification (PERIOD_HAS_UNMATCHED_ROWS)
- Source
- —
- Verification status
- Unverified
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.