...Maan Singh Rathore; S. P. Harsha Accurate estimation of remaining useful life (RUL) becomes a crucial task when bearing operates under dynamic working conditions. The environmental noise, different operating conditions, and multiple fault modes result in the existence of considerable distribution...

...Bin He; Long Liu; Dong Zhang As a transmission component, the gear has been obtained widespread attention. The remaining useful life (RUL) prediction of gear is critical to the prognostics health management (PHM) of gear transmission systems. The digital twin (DT) provides support for gear RUL...

... and the required production quality. Due to the rise of digital twin (DT), which has the characteristics of virtual reality interaction and real-time mapping, a DT-based real-time prediction method of the remaining useful life (RUL) and preventive maintenance scheme is proposed in this study. In this method, a DT...

...Xin Xu; Qianhui Wu; Xiu Li; Biqing Huang Accurate prediction of remaining useful life (RUL) plays an important role in reducing the probability of accidents and lessening the economic loss. However, traditional model-based methods for RUL are not suitable when operating conditions and fault models...

... demonstrate that the prediction performance of the MS-DRNN-based approach is effective and reliable. Email: by1603160@buaa.edu.cn Email: ftao@buaa.edu.cn Email: jinjian.jay@bnu.edu.cn Email: wangtian@buaa.edu.cn failure prognosis remaining useful life bearing deep learning data...