# An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-improved-fault-diagnosis-using-1d-convolutional-neural-network-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chih-Cheng Chen,Zhen Liu,Guangsong Yang,Chia‐Chun Wu,Qiubo Ye |
| Citations | 117 |
| DOI | 10.3390/electronics10010059 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-9292/10/1/59/pdf |
| OpenAlex ID | https://openalex.org/W3110074784 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Guangsong Yang](https://scholariq.org/researchers/guangsong-yang/)
- [Qiubo Ye](https://scholariq.org/researchers/qiubo-ye/)

## Paper journal

- [Electronics](https://scholariq.org/journals/electronics/)

## 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/)
- [Engineering Diagnostics and Reliability](https://scholariq.org/topics/engineering-diagnostics-and-reliability/)

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