An Artificial Neural Network based expert system fitted with Genetic Algorithms for detecting the status of several rotary components in agro-industrial machines using a single vibration signal

作者：

Highlights：

• The statuses of rotary components of agro-industrial machines are estimated.

• A single vibration point is enough to estimate several rotary elements statuses.

• An Artificial Neural Network can be used to estimate the rotary elements statuses.

• Genetic Algorithms improve the estimation performance and the training time.

• No feature selection stage is needed to estimate the rotary elements statuses.

摘要

•The statuses of rotary components of agro-industrial machines are estimated.•A single vibration point is enough to estimate several rotary elements statuses.•An Artificial Neural Network can be used to estimate the rotary elements statuses.•Genetic Algorithms improve the estimation performance and the training time.•No feature selection stage is needed to estimate the rotary elements statuses.

论文关键词：Artificial Neural Networks,Predictive maintenance,Genetic Algorithms,Vibration,Agricultural machinery,Digital signal processing

论文评审过程：Available online 17 April 2015, Version of Record 15 May 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.018