
基本信息:
- 专利标题: 基于稀疏贝叶斯的故障定位方法及系统
- 专利标题(英):Sparse Bayesian-based fault locating method and system
- 申请号:CN201510476751.5 申请日:2015-08-06
- 公开(公告)号:CN106446308A 公开(公告)日:2017-02-22
- 发明人: 潘海囤 , 吴晖 , 林慧 , 李琼舟 , 钟浩 , 王丽艳 , 刘伟 , 任磊峰
- 申请人: 国家电网公司 , 国网河南省电力公司郑州供电公司郑州和宽通信科技有限公司河南智讯通科技有限公司
- 申请人地址: 北京市西城区西长安街86号
- 专利权人: 国家电网公司,国网河南省电力公司郑州供电公司郑州和宽通信科技有限公司河南智讯通科技有限公司
- 当前专利权人: 国家电网公司,国网河南省电力公司郑州供电公司郑州和宽通信科技有限公司河南智讯通科技有限公司
- 当前专利权人地址: 北京市西城区西长安街86号
- 代理机构: 郑州金成知识产权事务所
- 代理人: 郭增欣
- 主分类号: G06F17/50
- IPC分类号: G06F17/50 ; G06N3/08
The invention discloses a sparse Bayesian-based fault locating method and system. The system comprises a preprocessing module, a data learning and training module, a prediction module, a data analysis module and a fault locating module, wherein the preprocessing module performs processing on input data and inputs the processed data to the prediction module and the data learning and training module for performing processing; the data learning and training module inputs the processed data to the prediction module; the prediction module transmits the processed data to the data analysis module for performing processing; the data analysis module inputs the processed data to the fault locating module; and the fault locating module inputs the processed data to a control center. According to the method and the system, data prediction is performed by adopting a sparse Bayesian learning method; the whole calculation process is sparsified; the functions of increasing the calculation speed and improving the prediction precision are achieved; and the influence of certain error data on a result can be eliminated.