# Mechanical fault time series prediction by using EFMSAE-LSTM neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mechanical-fault-time-series-prediction-by-using-efmsae-lstm-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jianwen Guo,Zhenpeng Lao,Ming Hou,Chuan Li,Shaohui Zhang |
| Citations | 72 |
| DOI | 10.1016/j.measurement.2020.108566 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3093573961 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jianwen Guo](https://scholariq.org/researchers/jianwen-guo/)

## Paper journal

- [Measurement](https://scholariq.org/journals/measurement/)

## Paper primary topic

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

## Paper topics

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.