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This paper considers predictive maintenance, which is the task of predicting rare and anomalous events (typically, system failures) using event logs data, ...
We introduce Bayesian Pattern Feature. Discovery (BPFD), a new generic algorithm for pattern discovery. Our method, based on a pattern mining technique, ...
Our method, based on a pattern mining technique, produces informative and explainable features and is computationally efficient. The performance of BPFD is ...
By prioritizing maintenance tasks based on risk assessment models and condition monitoring, the system enables organizations to optimize resource allocation, ...
The best discriminative pattern are then appended as a variable in the feature space on which any classifier can be trained. Amir Dib†, Charles Truong†, Laurent ...
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Mathematics. Bayesian Feature Discovery for Predictive Maintenance. Published on 23 August 2021 - 2021 29th European Signal Processing Conference (EUSIPCO).
Bayesian Feature Discovery for Predictive Maintenance · Fonction : Auteur · PersonId : 1198029 · IdHAL : charlestruong · ORCID : 0000-0002-8527-8161.
An appropriate processing method must then be developed which ensures that key features of data can be identified, such as peak values of depth or shape ...
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We present a new approach based on the combined use of Long Short-Term Memory (LSTM) neural networks and Bayesian inference for the predictive maintenance of ...
Designing a Bayesian network for preventive maintenance from expert opinions in a rapid and reliable way. Reliability Engineering &. System Safety 2006; 91 ...