# Ensemble deep learning-based fault diagnosis of rotor bearing systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ensemble-deep-learning-based-fault-diagnosis-of-rotor-bearing-systems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sai Ma,Fulei Chu |
| Citations | 166 |
| DOI | 10.1016/j.compind.2018.12.012 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2905386532 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Sai Ma](https://scholariq.org/researchers/sai-ma/)

## Paper journal

- [Computers in Industry](https://scholariq.org/journals/computers-in-industry/)

## Paper primary topic

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)

## Paper topics

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Engineering Diagnostics and Reliability](https://scholariq.org/topics/engineering-diagnostics-and-reliability/)
- [Gear and Bearing Dynamics Analysis](https://scholariq.org/topics/gear-and-bearing-dynamics-analysis/)

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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.