# Machine Learning approach for Predictive Maintenance in Industry 4.0

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-approach-for-predictive-maintenance-in-industry-4-0/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marina Paolanti,Luca Romeo,Andrea Felicetti,Adriano Mancini,Emanuele Frontoni,Jelena Loncarski |
| Citations | 284 |
| DOI | 10.1109/mesa.2018.8449150 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2888844977 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

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

## Paper primary topic

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

## Paper topics

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

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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.