Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence
Data-driven method developed based on deep learning theory has satisfactorily solved the
problems of fault classification and health prognosis for industrial equipment. Meanwhile …
problems of fault classification and health prognosis for industrial equipment. Meanwhile …
Evaluating the Reliability of Machine-Learning-based Predictions used in Nuclear Power Plant Instrumentation and Control Systems
The field of data-driven, neural-network-based machine learning (ML) has seen significant
growth, with applications in various information and control systems. Despite promising real …
growth, with applications in various information and control systems. Despite promising real …
Adopting New Machine Learning Approaches on Cox's Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions
DR Godoy, V Álvarez, R Mena, P Viveros… - Machines, 2024 - mdpi.com
The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM)
policy is used by asset-intensive industries to predict failure rate, reliability function, and …
policy is used by asset-intensive industries to predict failure rate, reliability function, and …
Integration of nonlinear observer and unscented Kalman filter for pose estimation in autonomous truck–trailer and container truck
This paper introduces a new approach to state estimation called nonlinear observer-
unscented Kalman filter (NLO-UKF). The proposed method is designed to improve the …
unscented Kalman filter (NLO-UKF). The proposed method is designed to improve the …
[HTML][HTML] New Maintenance Management Topics
V Pelantová, J Zajíček - 2024 - intechopen.com
This chapter deals with new topics in maintenance management. The need for maintenance
as a result of changes in the substantial environment of organisations increases. Based on …
as a result of changes in the substantial environment of organisations increases. Based on …