# Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multi-fault-diagnosis-of-industrial-rotating-machines-using-data-driven-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shreyas Gawde,Shruti Patil,Satish Kumar,Pooja Kamat,Ketan Kotecha,Ajith Abraham |
| Citations | 288 |
| DOI | 10.1016/j.engappai.2023.106139 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4361255950 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Ketan Kotecha](https://scholariq.org/researchers/ketan-kotecha/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## 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/)
- [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.