A systematic overview of health indicator construction methods for rotating machinery
Rotating machinery plays a vital role in the industrial sector, and ensuring its health status is
crucial for operational efficiency and safety. The construction of accurate health indicators …
crucial for operational efficiency and safety. The construction of accurate health indicators …
Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection
As an indispensable energy device, 18650 lithium-ion battery has widespread applications
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
Remaining useful life prediction of bearings by a new reinforced memory GRU network
The remaining useful life (RUL) prediction of bearings has great significance in the
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …
Scalability, explainability and performance of data-driven algorithms in predicting the remaining useful life: A comprehensive review
Early detection of faulty patterns and timely scheduling of maintenance events can minimize
risk to the underlying processes and increase a system's lifespan, reliability, and availability …
risk to the underlying processes and increase a system's lifespan, reliability, and availability …
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Remaining useful life (RUL) prediction plays a significant role in the prognostic and health
management (PHM) of rotating machineries. A good health indicator (HI) can ensure the …
management (PHM) of rotating machineries. A good health indicator (HI) can ensure the …
Spatio-temporal fusion attention: A novel approach for remaining useful life prediction based on graph neural network
Prognostics and health management applications rely heavily on predicting industrial
equipment's remaining useful life (RUL). The traditional RUL prediction approaches mainly …
equipment's remaining useful life (RUL). The traditional RUL prediction approaches mainly …
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective
K Zhong, J Wang, S Xu, C Cheng, H Chen - Engineering Applications of …, 2023 - Elsevier
As the “heart” of high-speed train, traction systems play an important role in the safe
operation of trains, of which the operation and maintenance level is still unable to meet the …
operation of trains, of which the operation and maintenance level is still unable to meet the …
Remaining useful life prediction by distribution contact ratio health indicator and consolidated memory GRU
Facing the gap in the unsupervised construction of health indicator (HI) with a uniform failure
threshold, a new unsupervised HI construction approach is developed. First, the distribution …
threshold, a new unsupervised HI construction approach is developed. First, the distribution …
Dual-thread gated recurrent unit for gear remaining useful life prediction
Remaining useful life (RUL) prediction can provide a foundation for the operation and
maintenance of industrial equipment. In order to improve the predictive ability for the …
maintenance of industrial equipment. In order to improve the predictive ability for the …
Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Different levels of characteristic information cannot be mined using various feature extraction
modes in most neural networks, and thus, a novel method called the automatic multi …
modes in most neural networks, and thus, a novel method called the automatic multi …