Machinery Health Indicator Construction using Multi-objective Genetic Algorithm Optimization of a Feed-forward Neural Network based on Distance

Machinery Health Indicator Construction using Multi-objective Genetic Algorithm Optimization of a Feed-forward Neural Network based on Distance

Assessment of machine health and prediction of future failures are critical for maintenance decisions. Many of the existing methods use unsupervised techniques to construct health indicators by measuring the disparity between the current state and either the healthy or the faulty states of the syste...

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Bibliographic Details
Main Author: Nyman, Jacob
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Prognostics
Health Indicator Construction
Remaining Useful Life Prediction
Multi-objective Optimization
Distance
Prognostik
Hälsoindikatorkonstruktion
Återstående Livslängd
Multiobjektiv Optimering
Avstånd
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298084

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298084

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