scholarly journals Model-based strategy and surrogate function for health condition assessment of actuation devices

2021 ◽  
Vol 1024 (1) ◽  
pp. 012101
Author(s):  
P C Berri ◽  
M D L Dalla Vedova ◽  
G Quattrocchi ◽  
P Maggiore
Keyword(s):  
Condition Assessment ◽  
Health Condition ◽  
Model Based ◽  
Surrogate Function ◽  
Actuation Devices

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.

Health Condition Assessment of Servomechanism Based on Grey Target Theory

2014 ◽  
Vol 643 ◽  
pp. 363-367
Author(s):  
Yu Hang Zheng ◽  
Zi Cheng Ning
Keyword(s):  
Principal Component Analysis ◽  
Standard Model ◽  
Correlation Analysis ◽  
Measurement Data ◽  
Principal Component ◽  
Condition Assessment ◽  
Health Condition ◽  
Coefficient Of Correlation ◽  
Target Theory ◽  
Index Weight

According to exist problem of servomechanism health condition assessment because of complicated measurement data, a method that based on grey target theory is proposed. By combining the principal component analysis (PCA) and correlation analysis to filter index and determine index weight, then target correlation was obtained by weighting the coefficient of correlation between measurement sequence and standard model that determined by required figure and measurement data, at last, health condition of servomechanism was assessed by matching health condition degree. Experiment shows that this method with clear procedure can exactly evaluate the servomechanism health condition.

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