Clustering and visualization of failure modes using an evolving tree

作者：

Highlights：

• Clustering and visualization of failure modes in FMEA is introduced.

• The ETree neural network model is adopted to improve FMEA implementation.

• Failure modes are visualized as a tree structure through their risk factors.

• A risk interval is introduced to order failure modes in groups.

• A case study with real edible bird nest process information is reported.

摘要

•Clustering and visualization of failure modes in FMEA is introduced.•The ETree neural network model is adopted to improve FMEA implementation.•Failure modes are visualized as a tree structure through their risk factors.•A risk interval is introduced to order failure modes in groups.•A case study with real edible bird nest process information is reported.

论文关键词：Clustering,Visualization,Failure Mode and Effect Analysis,Evolving tree,Edible bird nest industry,Euclidean similarity,Neural network

论文评审过程：Available online 7 May 2015, Version of Record 11 June 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.036