发明名称 |
METHODS AND APPARATUS FOR PREDICTING FAULT OCCURRENCE IN MECHANICAL SYSTEMS AND ELECTRICAL SYSTEMS |
摘要 |
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. |
申请公布号 |
US2016335548(A1) |
申请公布日期 |
2016.11.17 |
申请号 |
US201615141197 |
申请日期 |
2016.04.28 |
申请人 |
ROLLS-ROYCE plc |
发明人 |
GOH Chi-Keong;PIN Lim;KAY CHEN Tan |
分类号 |
G06N5/04;G06N3/12 |
主分类号 |
G06N5/04 |
代理机构 |
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代理人 |
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主权项 |
1. A method of predicting fault occurrence in a mechanical system, the method comprising:
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. |
地址 |
London GB |