A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems

Volume: 116, Pages: 178 - 187
Published: Aug 1, 2019
Abstract
This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use of a strided time window along with a piecewise linear model to estimate the RUL for each mechanical component. Tuning the data-related parameters in the optimization framework allows for the use of...
Paper Details
Title
A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems
Published Date
Aug 1, 2019
Volume
116
Pages
178 - 187
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