Steam turbine rotor remote fault diagnosis based on BP neural network

摘要

Rotor is the most important part of steam turbine; its properties affect the steam turbine safety and steady directly. The steam turbine rotor of remote fault diagnosis system based on BP neural network is proposed in this paper. Wavelet analysis and BP neural network are used to carry out fault diagnosis of steam turbine rotor. The mobile Internet technology and android is used to design and develop a remote portable terminal fault diagnosis system of steam turbine rotor. A prototype system is realized and applied in the enterprise for carrying out the portable remote intelligent fault diagnosis.