GAN-SAE based fault diagnosis method for electrically driven feed pumps.

ABSTRACT: The running of high-speed electrically driven feed pump has a direct impact on the safety of personnel equipment and economic benefits of power plant, as the result, intelligent condition monitoring and fault diagnosis of electrically driven feed pump becomes an urgent need. In the practical process of electrically driven feed pump fault diagnosis, the running of the equipment is in normal state for a long time, occasionally, with faults, which makes the fault data very rare in a large number of monitoring data, and makes it difficult to extract the internal fault features behind the original time series data, When the deep learning theory is used in practice, the imbalance between the fault data and the normal data occurs in the operation data set. In order to solve the problem of data im

SUBMITTER: Han H 

PROVIDER: S-EPMC7581010 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature