A novel approach based on spatio-temporal attention and multi-scale modeling for mechanical failure prediction

This publication has 36 references indexed in Scilit:

• Finite-time adaptive neural resilient DSC for fractional-order nonlinear large-scale systems against sensor-actuator faults
  Nonlinear Dynamics, 2023
• A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
  Advanced Engineering Informatics, 2023
• Composite adaptive finite‐time fuzzy control for switched nonlinear systems with preassigned performance
  International Journal of Adaptive Control and Signal Processing, 2022
• A deep learning framework for sensor-equipped machine health indicator construction and remaining useful life prediction
  Computers & Industrial Engineering, 2022
• Bearing remaining useful life prediction of fatigue degradation process based on dynamic feature construction
  International Journal of Fatigue, 2022
• Capacities prediction and correlation analysis for lithium-ion battery-based energy storage system
  Control Engineering Practice, 2022
• Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications
  Computers in Industry, 2021
• A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis
  Control Engineering Practice, 2021
• CBAM: Convolutional Block Attention Module
  2018
• Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor
  Control Engineering Practice, 2018