A Research on Fault Diagnosis for Turbo-Generator Based on Neural Network and Fuzzy Theory
Ming Cheng · Journal of Lanzhou Jiaotong University · 2010
The actual factors of turbo-generator fault and the collected data are combined,and they are processed with fuzzy theory,which reflects the actual operation process.There are 20 sets of data collected to calculate for each fault.The result of each fault type will serve as the sample characteristic,and the input of the BP neural network for simulation.Simulation results are consistent with the real experiment results.It overcomes the shortages to estimate the fault type only by the variety of spectrum,and provides a reference method for the future work.