# Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-enabled-fault-diagnosis-using-time-frequency-image-analysis-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | David Verstraete,Andrés Ferrada,Enrique López Droguett,Viviana Meruane,Mohammad Modarres |
| Citations | 414 |
| DOI | 10.1155/2017/5067651 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | http://downloads.hindawi.com/journals/sv/2017/5067651.pdf |
| OpenAlex ID | https://openalex.org/W2762841298 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Mohammad Modarres](https://scholariq.org/researchers/mohammad-modarres/)

## 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/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.