Fault Diagnosis of the Gas Turbine Based on Multi-operating Condition Information Fusion

The application of the multi-operating condition information fusion in the fault diagnosis of the gas turbine is discussed. A novel multi-sensor information fusion model is found based on the small deviation information of the multi-operating condition measure data. The model effectively avoids the evidence confliction in the process of the information fusion and is more competent for the fault diagnosis of the gas turbine. Comparing with the results from the other advanced fusion arithmetic, the fusion results of the minimized deviation information of the multi-operating condition measured data by Dempster-Shafer evidence theory are more reasonable, which proved that the application of multi-operating condition information can effectively improve the precision and rationality of the fault diagnosis results.