# AI-enhanced predictive maintenance in hybrid roll-to-roll manufacturing integrating multi-sensor data and self-supervised learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-enhanced-predictive-maintenance-in-hybrid-roll-to-roll-manufacturing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lakshmana Phaneendra Maguluri,D. Suganthi,Girish M. Dhote,Dhiraj Kapila,Makarand Jadhav,S. Neelima |
| Citations | 16 |
| DOI | 10.1007/s00170-024-14263-7 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4401595492 |
| Type | article |
| Year | 2024 |

## Paper authors

- [S. Neelima](https://scholariq.org/researchers/s-neelima/)

## Paper journal

- [The International Journal of Advanced Manufacturing Technology](https://scholariq.org/journals/the-international-journal-of-advanced-manufacturing-technology/)

## Paper primary topic

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Paper topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Mineral Processing and Grinding](https://scholariq.org/topics/mineral-processing-and-grinding/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.