X Li, X Jia, Y Wang, S Yang, H Zhao… - … /ASME Transactions on …, 2020 - ieeexplore.ieee.org
Effective and reliable machinery health assessment and prognostic methods have been highly demanded in modern industries. In the past years, promising prognostic results have …
Recently, intelligent data-driven machinery prognostics and health management have been attracting increasing attention due to the great merits of high accuracy, fast response and …
B Wang, Y Lei, N Li, T Yan - Mechanical systems and signal processing, 2019 - Elsevier
Deep learning is gaining attention in data-driven remaining useful life (RUL) prediction of machinery because of its powerful representation learning ability. With the help of deep …
D Xu, H Qiu, L Gao, Z Yang, D Wang - Reliability Engineering & System …, 2022 - Elsevier
Remaining useful life (RUL) estimation plays a crucial role in evaluating health states and improving maintenance plans of mechanical systems. Recently, artificial intelligence-based …
F Zeng, Y Li, Y Jiang, G Song - Measurement, 2021 - Elsevier
Remaining useful life (RUL) estimation has always been an essential task of prognostics health management (PHM). However, degradation data of machinery is seldom available …
B Wang, Y Lei, N Li, W Wang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
To integrate the complete degradation information of machinery, deep learning-based prognostics approaches usually use monitoring data acquired by different sensors as the …
Y Cheng, C Wang, J Wu, H Zhu, CKM Lee - Applied Soft Computing, 2022 - Elsevier
Data-driven remaining useful life (RUL) prediction approaches, especially those based on deep learning (DL), have been increasingly applied to mechanical equipment. However, two …
J Yan, Z He, S He - Computers & Industrial Engineering, 2022 - Elsevier
Prognostic and health management (PHM) effectively reduces the economic loss of sensor- equipped machine downtime caused by under-maintenance and the waste of resources …
J Zhuang, M Jia, Y Ding, P Ding - Reliability Engineering & System Safety, 2021 - Elsevier
Many data-driven models normally assume that the training and test data are independent and identically distributed to predict the remaining useful life (RUL) of industrial machines …