Abstract: With the rapid development of automation and the wide application of new sensors in smart substation, data mining of electrical equipment directly related to the reliability, stability and safety of smart substation.Focusing on the smart operation and maintenance of the smart substation with the big data, the application of prognostics and health management（PHM）technology in intelligent substation was introduced.The open system architecture condition-based management（OSA-CBM）standard was used to sort out the hierarchy of PHM system.Firstly, based on the analysis of the smart substation system structure, various fault diagnosis and life prediction methods based on data driven for smart substation were summarized.Then, the research results of maintenance management in smart substation were systematically analyzed.Finally, a PHM architecture that can be used in smart substation was proposed based on the OSA-CBM architecture.