A systematic methodology for Prognostic and Health Management system architecture definition
Abstract Prognostic and Health Management (PHM) systems support aircraft maintenance
through the provision of diagnostic and prognostic capabilities, leveraging the increased …
through the provision of diagnostic and prognostic capabilities, leveraging the increased …
[HTML][HTML] Supporting group maintenance through prognostics-enhanced dynamic dependability prediction
Condition-based maintenance strategies adapt maintenance planning through the
integration of online condition monitoring of assets. The accuracy and cost-effectiveness of …
integration of online condition monitoring of assets. The accuracy and cost-effectiveness of …
Development of a prognostics and health management system for the railway infrastructure—Review and methodology
The Prognostics and Health Management (PHM) can be considered as a key process to
deploy a predictive maintenance program. Since its inception as an engineering discipline …
deploy a predictive maintenance program. Since its inception as an engineering discipline …
Creation of publicly available data sets for prognostics and diagnostics addressing data scenarios relevant to industrial applications
S Hagmeyer, F Mauthe, P Zeiler - International Journal of …, 2021 - papers.phmsociety.org
For a successful realization of prognostics and health management (PHM), the availability of
sufficient run-to-failure data sets is a crucial factor. The sheer number of given data points …
sufficient run-to-failure data sets is a crucial factor. The sheer number of given data points …
PHM SURVEY: Implementation of prognostic methods for monitoring industrial systems
Prognostics and Health Management (commonly called PHM) is a field that focuses on the
degradation mechanisms of systems in order to estimate their health status, anticipate their …
degradation mechanisms of systems in order to estimate their health status, anticipate their …
A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty
JI Aizpurua, VM Catterson… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Prognostics predictions estimate the remaining useful life (RUL) of assets. This information
enables the implementation of condition-based maintenance strategies by scheduling …
enables the implementation of condition-based maintenance strategies by scheduling …
Stress-oriented, data-based payment model for machine tools
P Stanula, C Praetzas, O Kohn, J Metternich… - Procedia CIRP, 2020 - Elsevier
The acquisition costs of expensive machine tools are often a financial challenge for small
and medium-sized enterprises, which is why many companies draw on traditional leasing …
and medium-sized enterprises, which is why many companies draw on traditional leasing …
Improved dynamic dependability assessment through integration with prognostics
JI Aizpurua, VM Catterson… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The use of average data for dependability assessments results in an outdated system-level
dependability estimation, which can lead to incorrect design decisions. With increasing …
dependability estimation, which can lead to incorrect design decisions. With increasing …
On the use of dynamic reliability for an accurate modelling of renewable power plants
Renewable energies are a key element of the modern sustainable development. They play
a key role in contributing to the reduction of the impact of fossil sources and to the energy …
a key role in contributing to the reduction of the impact of fossil sources and to the energy …
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox
X Zou, L Tao, L Sun, C Wang, J Ma, C Lu - Reliability Engineering & System …, 2023 - Elsevier
Abstract Prognostics and Health Management (PHM) is a core technology for condition-
based maintenance. The diversity of PHM algorithms and the complexity of design factors …
based maintenance. The diversity of PHM algorithms and the complexity of design factors …