A comprehensive framework from real‐time prognostics to maintenance decisions
Abstract Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the Weibull time‐to‐event recurrent neur...
Main Authors: | Amit Kumar Jain, Maharshi Dhada, Marco Perez Hernandez, Manuel Herrera, Ajith Kumar Parlikad |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-06-01
|
Series: | IET Collaborative Intelligent Manufacturing |
Online Access: | https://doi.org/10.1049/cim2.12021 |
Similar Items
-
Relaxing Platform Dependencies in Agent-Based Control Systems
by: Marco Perez Hernandez, et al.
Published: (2021-01-01) -
The impact of product information on the effectiveness of product recovery decisions
by: Parlikad, Ajith Kumar Narayanan
Published: (2007) -
Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering
by: Manuel Herrera, et al.
Published: (2020-03-01) -
Mining Graph-Fourier Transform Time Series for Anomaly Detection of Internet Traffic at Core and Metro Networks
by: Manuel Herrera, et al.
Published: (2021-01-01) -
A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor
by: Sanjay Kumar, et al.
Published: (2019-01-01)