With the development of science and technology as well as the advancement of production
technology, contemporary equipment is increasingly develo** towards large-scale …

The precise maintenance and scientific management of large and complex mechanical
equipment are of great significance for ensuring the safe operation of equipment and …

Deep learning-based prognostic methods have achieved great success in remaining useful
life (RUL) prediction, since degradation information of machine can be adequately mined by …

Various automated systems require human supervision in complex environments: this can
be a monotonous task but still requiring a significant degree of attention. If those tasks are …

Deep learning-based methods play an increasingly significant role in prognostic and health
management, enabling accurate and rapid estimation of the remaining useful life (RUL) …

Data-driven remaining useful life (RUL) prediction approaches, especially those based on
deep learning (DL), have been increasingly applied to mechanical equipment. However, two …

Prognostics and health management (PHM) are gradually being applied to production
management processes as industrial production is gradually undergoing a transformation …

随着科学技术的发展和生产工艺的进步, 当代设备日益朝着大型化, 复杂化,
自动化以及智能化方向发展. 为保障设备安全性与可靠性, 剩余寿命(Remaining useful life …

Prognostics and Health Management (PHM) concerns predicting machines' behavior to
support maintenance decisions through failure modes diagnosis and prognosis. Diagnosis …

Health state estimation can quantitatively evaluate the current degradation state of
equipment, and remaining life prediction can quantitatively predict the remaining service …