Development of a mobile APP for the operation monitoring and health management system of a steam turbine

摘要

In order to realize the real-time monitoring of the operation state and predict the possible faults of a steam turbine, a mobile APP based on the steam turbine operation monitoring and health management system is proposed in this paper. Firstly, some common faults which will be encountered in the operation of steam turbine are analyzed and the mechanism and characteristics of the faults are studied. Secondly, the hardware and software platform on the PC are built to diagnose the fault and analyze the trend by combining the methods of wavelet packet decomposition and BP neural network. Finally, the APP on the mobile terminal for the real-time operation monitoring of the steam turbine is developed. Furthermore, the test results of the mobile APP demonstrate that the developed mobile APP can effectively diagnose the fault and predict the trend. It also proved that the developed mobile APP can make the operation monitoring and health management system of the steam turbine run stably and meet the practical application requirements.