# Multistage Convolutional Autoencoder and BCM-LSTM Networks for RUL Prediction of Rolling Bearings

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multistage-convolutional-autoencoder-and-bcm-lstm-networks-for-rul-prediction-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Z. Wang,Jiangfeng Cheng,Hui Zheng,Xiaofu Zou,Fei Tao |
| Citations | 20 |
| DOI | 10.1109/tim.2023.3317471 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4386952470 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Xiaofu Zou](https://scholariq.org/researchers/xiaofu-zou/)

## Paper journal

- [IEEE Transactions on Instrumentation and Measurement](https://scholariq.org/journals/ieee-transactions-on-instrumentation-and-measurement/)

## 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/)
- [Mechanical Failure Analysis and Simulation](https://scholariq.org/topics/mechanical-failure-analysis-and-simulation/)

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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.