Adaptive detection of tool-workpiece contact for nanoscale tool setting based on multi-scale decomposition of force signal
Due to tool wear under long-time and long-distance cutting, it is inevitable to change the tool
to achieve relay machining. However, the existing tool setting methods based on visual …
to achieve relay machining. However, the existing tool setting methods based on visual …
A systematic review on interpretability research of intelligent fault diagnosis models
A systematic review on interpretability research of intelligent fault diagnosis models Page 1
Measurement Science and Technology ACCEPTED MANUSCRIPT A systematic review on …
Measurement Science and Technology ACCEPTED MANUSCRIPT A systematic review on …
An adaptive remaining useful life prediction model for aeroengine based on multi-angle similarity
Z Zhou, M Bai, Z Long, J Liu, D Yu - Measurement, 2024 - Elsevier
Abstract Similarity-based aeroengine Remaining Useful Life (RUL) prediction methods have
long been limited by similarity evaluation rules. Therefore, this article proposes an advanced …
long been limited by similarity evaluation rules. Therefore, this article proposes an advanced …
A novel weighted sparsity index based on multichannel fused graph spectra for machine health monitoring
K Zhang, J Yuan, H Jiang, Q Zhao - Mechanical Systems and Signal …, 2024 - Elsevier
Constructing validated health indices (HIs) is main strategy for machine health monitoring.
Multichannel signals always contain richer condition information of machines than single …
Multichannel signals always contain richer condition information of machines than single …
Health indicator adaptive construction method of rotating machinery under variable working conditions based on spatiotemporal fusion autoencoder
Y Duan, X Cao, J Zhao, M Li, X Yang, F Zhao… - Advanced Engineering …, 2024 - Elsevier
Health indicators (HI) can effectively reveal potential faults and express the degradation
process of rotating machinery in engineering, which are significant for health state …
process of rotating machinery in engineering, which are significant for health state …
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information
Prognostics and health management of rotating machinery plays an integral role in
providing critical monitoring information for stable equipment operation. Thus, an …
providing critical monitoring information for stable equipment operation. Thus, an …
Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis
Optimization-based weight learning approaches that incorporate multiple sensor signals or
vibration spectral components have demonstrated their effectiveness in monitoring …
vibration spectral components have demonstrated their effectiveness in monitoring …
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions
R Liu, X Ding, Y Shao - Advanced Engineering Informatics, 2024 - Elsevier
The speed variation poses great hardships to the intelligent fault diagnosis of mechanical
equipment. Existing solutions rarely consider the interpretable representation of fault …
equipment. Existing solutions rarely consider the interpretable representation of fault …
GARCH family models oriented health indicators for bearing degradation monitoring
Recent progress in digital twin (DT) has significantly contributed to the advancement of
predictive maintenance. The interaction of data between physical and virtual models is …
predictive maintenance. The interaction of data between physical and virtual models is …
More realistic degradation trend prediction for gas turbine based on factor analysis and multiple penalty mechanism loss function
Z Zhou, W Zhang, P Yao, Z Long, M Bai, J Liu… - Reliability Engineering & …, 2024 - Elsevier
Gas turbines play a crucial role in absorbing the volatility of new energy sources such as
wind and photovoltaic. Continuous degradation trend prediction for gas turbines is vital for …
wind and photovoltaic. Continuous degradation trend prediction for gas turbines is vital for …