This presents a effective Predictive Maintenance system based on the sensor data
collected through Simulation and determining its Remaining Useful Life (RUL) for a Separately
Excited DC Motor before the failure of machine which in turn can tell when to do maintenance
effectively. When estimating the RUL of Motor, Similarity Model is used to determine it as it
works efficiently and give more accurate result when Run-to-Failure Data is available.
引用格式
Bhoomik Bhamawat (2024). Predicting Remaining Useful Life on DC Motor (https://www.mathworks.com/matlabcentral/fileexchange/93550-predicting-remaining-useful-life-on-dc-motor), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R2020b
兼容任何版本
平台兼容性
Windows macOS Linux标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0 |