General Electric Company

Tong Zou

Xiaomo Jiang

Christopher Farral

Yogesh Agarwal

Certain embodiments herein are directed to systems and methods to predict failures in power systems equipment. In one embodiment, one or more life-span models associated with power systems equipment may be received. Examples of such life-span models may include a left-censoring model, a right-censoring model, and an interval-censoring model. An accuracy of the life-span models may be determined based at least in part on statistical analysis, such as a Weibull distribution analysis. A stability of the life-span models may also be determined, in certain embodiments herein.

Systems and methods for predicting failures in power systems equipment

Systems and methods are disclosed herein for enhancing turbomachine operations. Such systems and methods include a hybrid risk model. The hybrid risk model includes a physics-based sub model and a statistical sub model. The physics-based sub model is configured to model physical components of a turbomachine. The statistical sub model is configured to model historical information of the turbomachine. The hybrid risk model is configured to calculate a turbomachine parameter.

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Greenville, SC, United States of America

Tong Zou