# Sparse representation learning for fault feature extraction and diagnosis of rotating machinery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sparse-representation-learning-for-fault-feature-extraction-and-diagnosis-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sai Ma,Qinkai Han,Fulei Chu |
| Citations | 44 |
| DOI | 10.1016/j.eswa.2023.120858 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4381618971 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## 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/)
- [Structural Health Monitoring Techniques](https://scholariq.org/topics/structural-health-monitoring-techniques/)
- [Ultrasonics and Acoustic Wave Propagation](https://scholariq.org/topics/ultrasonics-and-acoustic-wave-propagation/)

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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.