Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models
作者：
Highlights：
• An ensemble of hybrid intelligent models is applied to condition monitoring tasks.
• A review on condition monitoring of induction motors is presented.
• The proposed model is able to learn incrementally and explain its predictions.
• The results ascertain the usefulness of the model for condition monitoring tasks.
• The knowledge base is presented as a decision tree for interpretation by users.
摘要
•An ensemble of hybrid intelligent models is applied to condition monitoring tasks.•A review on condition monitoring of induction motors is presented.•The proposed model is able to learn incrementally and explain its predictions.•The results ascertain the usefulness of the model for condition monitoring tasks.•The knowledge base is presented as a decision tree for interpretation by users.
论文关键词：Condition monitoring,Induction motor,Motor Current Signature Analysis,Fuzzy Min–Max neural network,Random Forest
论文评审过程：Available online 20 February 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.02.028
