[HTML][HTML] Continuous maintenance and the future–Foundations and technological challenges
High value and long life products require continuous maintenance throughout their life cycle
to achieve required performance with optimum through-life cost. This paper presents …
to achieve required performance with optimum through-life cost. This paper presents …
Cyber physical systems for predictive production systems
As disruptive technologies like Industry 4.0 and Internet of Things advance at a breakneck
speed, modern manufacturing is ready to embrace the systematic deployment of predictive …
speed, modern manufacturing is ready to embrace the systematic deployment of predictive …
Using data from similar systems for data-driven condition diagnosis and prognosis of engineering systems: A review and an outline of future research challenges
M Braig, P Zeiler - IEEE Access, 2022 - ieeexplore.ieee.org
Prognostics and health management (PHM) is an engineering approach dealing with the
diagnosis, prognosis, and management of the health state of engineering systems. Methods …
diagnosis, prognosis, and management of the health state of engineering systems. Methods …
A review of post-prognostics decision-making in prognostics and health management
O Bougacha, C Varnier, N Zerhouni - International Journal of …, 2020 - hal.science
Mainly, the prognostics and health management (PHM) pro-cess is based on three
processes: the data acquisition and health assessment process in which sensors signals are …
processes: the data acquisition and health assessment process in which sensors signals are …
Domain adaptation for one-class classification: monitoring the health of critical systems under limited information
The failure of a complex and safety critical industrial asset can have extremely high
consequences. Close monitoring for early detection of abnormal system conditions is …
consequences. Close monitoring for early detection of abnormal system conditions is …
Maintenance management for geographically distributed assets: a criticality-based approach
This paper provides a model to help decision-makers to choose the daily maintenance
strategy for geographically distributed assets (GDA) where sites are located in a wide …
strategy for geographically distributed assets (GDA) where sites are located in a wide …
Unsupervised fault detection in varying operating conditions
Training data-driven approaches for complex industrial system health monitoring is
challenging. When data on faulty conditions are rare or not available, the training has to be …
challenging. When data on faulty conditions are rare or not available, the training has to be …
Industrial AI enabled prognostics for high-speed railway systems
The vision of pervasive applications of artificial intelligence (AI) and the fact that hardware is
becoming more portable and computationally powerful has encouraged the development of …
becoming more portable and computationally powerful has encouraged the development of …
Fleet PHM for critical systems: bi-level deep learning approach for fault detection
Data-driven approaches are highly relying on the representativeness of the dataset used for
training the algorithms. For Prognostics and Health Management (PHM) applications, a lack …
training the algorithms. For Prognostics and Health Management (PHM) applications, a lack …
A new approach of PHM as a service in cloud computing
LS Terrissa, S Meraghni, Z Bouzidi… - 2016 4th IEEE …, 2016 - ieeexplore.ieee.org
Smart Manufacturing is the fourth revolution in the manufacturing industry “industry 4.0”. The
integration of Internet of things and Cloud manufacturing becomes increasingly important for …
integration of Internet of things and Cloud manufacturing becomes increasingly important for …