prognosis of failure time in gas turbines regarding multi time scales

In predicting of failure time based on operating hours, after identifying the effective parameters on wear process, it’s of great importance to model an associated function between parameters and their effects on acceleration the failure. gas turbines are too complicated to simple functions, proposed by manufacturer, cover all the possible scenarios with high confidence. in this article, all the parameters affected by time and the working cycle are combined by a relation with regarding a correction function that improve the accuracy of forecast to calculate equivalent working hours. the approach presented here, all the parameters, with a defined coefficient affect the failure process and lifetime reduction of the system and the various wear fractions within the exclusive temperature range are weighed by an appropriate factor. this method helps give a more realistic estimate of the residual life with more precision. the correction function will be updated consequently base on accurate of last output in compare with actual result. looking at the data, we can observe that 90 percent of failures happen in the area between 7800 to 8100 hours of work, which indicate accuracy with regard to these values given for the parameters. also result demonstrates that consideration of the last corrections in lifetime prediction is more effective than consideration of all the available data.