Abstract. High accuracy health prognostics are significant to machinery intelligent operation and maintenance. Current data-driven prognostics achieve great ...

Abstract. High accuracy health prognostics are significant to machinery intelligent operation and maintenance. Current data-driven prognostics achieve great ...

This study aims to solve this dilemma and proposes a novel meta learning algorithm reconstructed by classic variable-length prediction mode and attention ...

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.

2 days ago · Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data ... See the different ...

Jul 23, 2024 · 4 include: (i) Data distribution within PHM inherently displays significant variability across diverse production tasks, machines and operating ...

As such, this paper aims to improve prediction performances under limited data coupled with variable working conditions. Meta learning is introduced into this ...

... limited and variable-length data ... Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.

Machine condition prognostics is the critical part of an intelligent health ... under different operating conditions. An experiment was conducted on a TSTN ...

Prognostics and Health Management of the Robotic Servo-Motor under Variable Operating Conditions. ... intelligent fault diagnosis framework under time-varying ...