PofoliaShared via Pofolia

· 2017

Long Short-Term Memory Network for Remaining Useful Life estimation

Shuai Zheng, Kosta Ristovski, Ahmed Farahat, Chetan Gupta

Short summary

A novel Long Short-Term Memory (LSTM) network approach for Remaining Useful Life (RUL) estimation significantly outperforms traditional methods and Convolutional Neural Networks (CNNs).

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering