公开(公告)号：US20160335548A1

公开(公告)日：2016-11-17

申请号：US15141197

申请日：2016-04-28

Applicant: ROLLS-ROYCE plc

Inventor： Chi-Keong GOH ,  Lim PIN ,  Tan KAY CHEN

IPC: G06N5/04 ,  G06N3/12

CPC classification number: G06N3/126 ,  G06N20/00

Abstract: A method for predicting fault occurrence in a mechanical system and an electrical system. The method comprises: receiving a first dataset of mechanical system condition data, the first dataset being imbalanced by having more data points in a first category than in a second category; generating a plurality of chromosomes from the second category data points in the first dataset; the plurality of chromosomes including information to enable the creation of new datasets; generating a second dataset using the plurality of chromosomes and an evolutionary algorithm, the second dataset being less imbalanced than the first dataset; and predicting fault occurrence in the mechanical system using the second dataset and a machine learning algorithm.

Abstract translation: 一种用于预测机械系统和电气系统中故障发生的方法。 该方法包括：接收机械系统条件数据的第一数据集，所述第一数据集通过在第一类别中具有比在第二类别中更多的数据点来实现不平衡; 从所述第一数据集中的所述第二类别数据点生成多个染色体; 所述多个染色体包括能够创建新数据集的信息; 使用所述多个染色体生成第二数据集和进化算法，所述第二数据集比所述第一数据集更不平衡; 并使用第二数据集和机器学习算法预测机械系统中的故障发生。