# Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-residual-learning-with-demodulated-time-frequency-features-for-fault/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sai Ma,Fulei Chu,Qinkai Han |
| Citations | 120 |
| DOI | 10.1016/j.ymssp.2019.02.055 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2921717016 |
| Type | article |
| Year | 2019 |

## Paper authors

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

## 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/)
- [Gear and Bearing Dynamics Analysis](https://scholariq.org/topics/gear-and-bearing-dynamics-analysis/)
- [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.