Deep Koopman Operator-based degradation modelling
S Garmaev, O Fink - Reliability Engineering & System Safety, 2024 - Elsevier
Developing reliable health indicators for industrial assets is essential for accurate condition
monitoring, fault detection, and predicting the remaining useful lifetime. However …
monitoring, fault detection, and predicting the remaining useful lifetime. However …
Interfering sensed input classification model using assimilated whale optimization and deep Q-learning for remote patient monitoring
S Johar, GR Manjula - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT)-based Remote Patient Monitoring (RPM)
systems provide real-time data and insights about patients' conditions without the need for …
systems provide real-time data and insights about patients' conditions without the need for …
On the design of Optimal Health Indicators for early fault detection and their statistical thresholds
This research presents a method for developing optimal health indicators for early fault
detection in machine condition monitoring. The devised health indicators are optimal in the …
detection in machine condition monitoring. The devised health indicators are optimal in the …
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 characterization of enhanced and generalized Hjorth's feature space for bearing condition monitoring
The degradation assessment of rolling bearings provides a reasonable maintenance plan
for the safe operation of mechanical equipment. The general strategy for bearing condition …
for the safe operation of mechanical equipment. The general strategy for bearing condition …
A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time
X Pei, X Li, L Gao - Mechanical Systems and Signal Processing, 2024 - Elsevier
Remaining useful life (RUL) prediction is of great significance in the mechanical
transmission system as it provides a basis for the predictive maintenance of bearings and …
transmission system as it provides a basis for the predictive maintenance of bearings and …
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 …
Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions
Operating condition monitoring of wind turbine (WT) key components is of significant
importance to preventative maintenance and the improvement of WT reliability. To realize …
importance to preventative maintenance and the improvement of WT reliability. To realize …
An interpretable health indicator for bearing condition monitoring based on semi-supervised autoencoder latent space variance maximization
X Chen, Y Wang, L Meng, Y Qin… - … Science and Technology, 2023 - iopscience.iop.org
Effective health indicator (HI) construction can help equipment managers detect the
abnormal state of rotating machinery quickly. However, although the current deep learning …
abnormal state of rotating machinery quickly. However, although the current deep learning …
Learning Informative Health Indicators Through Unsupervised Contrastive Learning
K Rombach, G Michau, W Bürzle… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Monitoring the health of complex industrial assets is crucial for safe and efficient operations.
Health indicators that provide quantitative real-time insights into the health status of …
Health indicators that provide quantitative real-time insights into the health status of …