A systematic overview of health indicator construction methods for rotating machinery
Rotating machinery plays a vital role in the industrial sector, and ensuring its health status is
crucial for operational efficiency and safety. The construction of accurate health indicators …
crucial for operational efficiency and safety. The construction of accurate health indicators …
A machine-learning based data-oriented pipeline for prognosis and health management systems
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …
evolving mechanization. In this context, maintenance management gains visibility because it …
A CM&CP framework with a GIACC method and an ensemble model for remaining useful life prediction
Data-driven methods based on health indicators (HIs) have been proven effective for
remaining useful life (RUL) prediction. Significant differences may exist among HI …
remaining useful life (RUL) prediction. Significant differences may exist among HI …
A deep learning based health index construction method with contrastive learning
H Wang, X Li, Z Zhang, X Deng, W Jiang - Reliability Engineering & System …, 2024 - Elsevier
Health index (HI) can help equipment maintenance personnel better understand the health
status of equipment. However, how to construct a HI generation model with robust predictive …
status of equipment. However, how to construct a HI generation model with robust predictive …
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 data-driven predictive maintenance model to estimate RUL in a multi-rotor UAS
Unmanned Aircraft Systems (UAS) has become widespread over the last decade in various
commercial or personal applications such as entertainment, transportation, search and …
commercial or personal applications such as entertainment, transportation, search and …
[HTML][HTML] Health index estimation through integration of general knowledge with unsupervised learning
Abstract Accurately estimating a Health Index (HI) from condition monitoring data (CM) is
essential for reliable and interpretable prognostics and health management (PHM) in …
essential for reliable and interpretable prognostics and health management (PHM) in …
Benchmark transformation neural network for health indicator construction under time-varying speed and its application in machinery prognostics
A health indicator (HI) is usually applied to predict the remaining useful life (RUL) of
machinery. The current HI construction methods typically only focus on constant operating …
machinery. The current HI construction methods typically only focus on constant operating …
A novel HI construction method based on healthy-state data training for rotating machinery components
H Song, Y Sun, H Gao, L Guo… - Structural Health …, 2024 - journals.sagepub.com
In predictive maintenance for rotating machinery components, constructing health indicators
is crucial for improving operational efficiency and extending the equipment lifespan …
is crucial for improving operational efficiency and extending the equipment lifespan …
A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings
T Pan, J Chen, Z Liu - Expert Systems with Applications, 2024 - Elsevier
Uncertainty quantification and negative transfer characterization are significant challenges
in the context of deep learning-based remaining useful life prediction with limited data …
in the context of deep learning-based remaining useful life prediction with limited data …