Predictive maintenance model for centrifugal pumps under improper maintenance conditions

2020 ◽  
Author(s):  
Nazmee Hashim ◽  
Adnan Hassan ◽  
Mohd Foad Abdul Hamid
Keyword(s):  
Predictive Maintenance ◽  
Centrifugal Pumps ◽  
Maintenance Model

A predictive maintenance model for optimizing production schedule using deep neural networks

2022 ◽  
Vol 62 ◽  
pp. 450-462
Author(s):  
Tiago Zonta ◽  
Cristiano André da Costa ◽  
Felipe A. Zeiser ◽  
Gabriel de Oliveira Ramos ◽  
Rafael Kunst ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Predictive Maintenance ◽  
Production Schedule ◽  
Maintenance Model

scholarly journals Developing a predictive maintenance model for vessel machinery

2020 ◽  
Vol 5 (4) ◽  
pp. 358-386 ◽  
Author(s):  
Veronica Jaramillo Jimenez ◽  
Noureddine Bouhmala ◽  
Anne Haugen Gausdal
Keyword(s):  
Predictive Maintenance ◽  
Maintenance Model

Dynamic Predictive Maintenance Model Based on Data-Driven Machinery Prognostics Approach

2011 ◽  
Vol 143-144 ◽  
pp. 901-906
Author(s):  
W.Z. Liao ◽  
Y. Wang
Keyword(s):  
Paradigm Shift ◽  
Health Condition ◽  
Predictive Maintenance ◽  
Data Driven ◽  
Computational Results ◽  
Maintenance Policy ◽  
Model Based ◽  
Proposed Model ◽  
Maintenance Model

As an increasing number of manufacturers realize the importance of adopting new maintenance technologies to enable systems to achieve near-zero downtime, machinery prognostics which enables this paradigm shift from traditional fail-and-fix maintenance to a predict-and-prevent paradigm has arose interests from researchers. Machine's condition and degradation estimated by machinery prognostics approach can be used to support predictive maintenance policy. This paper develops a novel data-driven machine prognostics approach to assess machine's health condition and predict machine degradation. With this prognostics information, a predictive maintenance model is constructed to decide machine's maintenance threshold and predictive maintenance cycles number. Through a case study, this predictive maintenance model is verified, and the computational results show that this proposed model is efficient and practical.

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