# From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/from-knowledge-based-to-big-data-analytic-model-a-novel-iot-and-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Riccardo Rosati,Luca Romeo,Gianalberto Cecchini,F. Tonetto,Paolo Viti,Adriano Mancini,Emanuele Frontoni |
| Citations | 238 |
| DOI | 10.1007/s10845-022-01960-x |
| Fields | Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10845-022-01960-x.pdf |
| OpenAlex ID | https://openalex.org/W4281393809 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Emanuele Frontoni](https://scholariq.org/researchers/emanuele-frontoni/)

## Paper journal

- [Journal of Intelligent Manufacturing](https://scholariq.org/journals/journal-of-intelligent-manufacturing/)

## 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/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)

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