General Electric Company

Christopher Farral

David Martin Johnson

Linda Jean Farral

Mullahalli Venkataramaniah Srinivas

George Hanna Ghanime

Bruce J Badding

Govindarajan Rengarajan

John Robert Korsedal

Xiaomo Jiang

David Purnell

Tong Zou

Jenfu Yau

Shridhar Raghuvir Powar

Peter J R&ouml;hl

Seema Chopra

Julia A Wagener

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies are disclosed. According to one embodiment of the disclosure, a method can include receiving, by one or more processors, operational conditions data associated with a hardware component of a gas turbine; based at least in part on the operational variation data, applying, by one or more processors, statistical methods to establish an operational profile of the hardware component; receiving, by one or more processors, operating parameters and operational conditions data associated with the hardware component; based at least in part on the operating parameters and the operational conditions data, applying, by one or more processors, physics-based methods to establish an operational impact factor of the hardware component; and based at least in part on the operational profile and the operational impact factor determining, by one or more processors, a probability of a failure of the hardware component within a time period.

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies

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.

System and method for hybrid risk modeling of turbomachinery

A system and method for analyzing a baseline geometry and, optionally, a modified geometry. The method can include generating a numerical representation of a baseline geometry having baseline elements identified with first identifiers or element identifiers, and then assigning second identifiers or analyzer identifiers to the elements. A selected characteristic of the geometry, such as structural loading, is analyzed with reference to the second or analyzer identifiers. At least one of the elements of the geometry can then be altered in a manner that at least partially automatically adjusts the surrounding geometry, and the same first identifier or element identifier is associated with the altered element as was associated with the baseline, unaltered element. The altered geometry can be analyzed with respect to a third identifier (or another analyzer identifier) and a correspondence between the identifiers, the baseline element, and the altered element can be established and maintained. Accordingly, the boundary conditions and/or the mesh applied to the baseline geometry can be automatically applied to the altered geometry by referring to the first or element identifiers. Therefore, the time and effort required to analyze the altered geometry can be reduced when compared to the effort typically required by conventional methods.

Analyzing characteristics of geometries

A system and method for analyzing a baseline geometry and, optionally, a modified geometry. The method can include generating a numerical representation of a baseline geometry having baseline elements identified with first identifiers or element identifiers, and then assigning second identifiers or analyzer identifiers to the elements. Thermal characteristics of the geometry are analyzed with reference to the second or analyzer identifiers. The results of the thermal analysis can be provided as an input for a structural analysis of the baseline geometry. At least one of the elements of the geometry can then be altered in a manner that at least partially automatically adjusts the surrounding geometry, and the same first identifier or element identifier is associated with the altered element as was associated with the baseline, unaltered element. The altered geometry can be analyzed with respect to a third identifier (or another analyzer identifier) and a correspondence between the identifiers, the baseline element, and the altered element can be established and maintained. Accordingly, the boundary conditions and/or the mesh applied to the baseline geometry can be automatically applied to the altered geometry by referring to the first or element identifiers. Therefore, the time and effort required to analyze the altered geometry can be reduced when compared to the effort typically required by conventional methods.

Analyzing thermal characteristics of geometries

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Greenville, SC, United States of America

Christopher Farral