Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion

(2021) Cheng Peng et al.   SENSORS

LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems

(2021) Jun Xia et al.   ENGINEERING FAILURE ANALYSIS

Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling

(2021) Juseong Lee et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction

(2021) Tianfu Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

(2021) Yudong Cao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction using multi-scale deep convolutional neural network

(2020) Han Li et al.   APPLIED SOFT COMPUTING

An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets

(2020) Juseong Lee et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

(2020) Juan José Montero Jimenez et al.   JOURNAL OF MANUFACTURING SYSTEMS

Managing engineering systems with large state and action spaces through deep reinforcement learning

(2019) C.P. Andriotis et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A multimodal and hybrid deep neural network model for Remaining Useful Life estimation

(2019) Ali Al-Dulaimi et al.   COMPUTERS IN INDUSTRY

A new dynamic predictive maintenance framework using deep learning for failure prognostics

(2019) Khanh T.P. Nguyen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture

(2018) André Listou Ellefsen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Timely condition-based maintenance planning for multi-component systems

(2017) K. Verbert et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY