… and hence its use for system health management applications must been researched if it can
… system health management with an emphasis on recent trends of deep learning within the …

… In this section, we briefly discuss the fundamental concepts of deep learning and typical
deep structures commonly applied to PHM in literature. Some mostly used terminologies have …

… in PHM methodologies using deep learning with the aim of … deep learning models, we
review and analyze applications of fault detection, diagnosis and prognosis using deep learning. …

… been collected, the application of deep learning approaches for detecting, diagnosing and
… field of deep learning applied to Prognostics and Health Management (PHM) applications. …

… learning, it gains considerable attentions in the PHM of Li-ion battery. To provide a comprehensive
view of deep learning-… Deep learning-based PHM of Li-ion battery roughly involves …

… tools for precise prognostic and health management (PHM) of aircraft. This paper presents
a PHM model which combines multiple deep learning algorithms for condition assessment, …

… , and cost-beneficial manner, autoships will require intelligent Prognostics and Health
Management (PHM) systems. Deep learning (DL) is a potential area for this development, as it is …

… Our proposed deep learning structure for asset health assessment was tested with one of
the largest mining service companies in the world. The collected data includes the logs of daily …

… In this research, a deep learning application is applied to detect and classify concrete defects…
clearly that deep learning models could enhance the efficiency of concrete structural health …

… , the inclusion of Deep Learning algorithms in prognostics and health management (PHM) …
Deep Learning-based models fall within the accuracy/interpretability tradeoff, which means …