초록 ▼

Apparatus and methods for assessing component health for reconfigurable control are disclosed. In one embodiment, a method of operating a product includes monitoring a first diagnostic information of a component of the product, and monitoring a second diagnostic information of a system that includes

Apparatus and methods for assessing component health for reconfigurable control are disclosed. In one embodiment, a method of operating a product includes monitoring a first diagnostic information of a component of the product, and monitoring a second diagnostic information of a system that includes the component. The first and second diagnostic informations are then combined, and based at least partially on the combined first and second diagnostic information at least one of the component and the system are reconfigured.

대표청구항 ▼

What is claimed is: 1. A method of operating an aircraft, comprising: monitoring operating parameters of a component of the aircraft; monitoring system-level health of an aircraft control system including the component, wherein the system health is monitored to determine break points for health dis

What is claimed is: 1. A method of operating an aircraft, comprising: monitoring operating parameters of a component of the aircraft; monitoring system-level health of an aircraft control system including the component, wherein the system health is monitored to determine break points for health discrimination; processing the operating parameters and the system-level health to determine health of the component, including performing principal component analysis (PCA) to provide a reduced set of data, determining a scale factor from the PCA, and using the reduced set in conjunction with the system level health to determine a health assessment parameter for the component, wherein the breakpoints are combined with the scale factor to determine the health assessment parameter; and reconfiguring at least one of the component and the flight control system to compensate for the component during operation if the health assessment parameter indicates a degradation of the component. 2. The method of claim 1, wherein reconfiguring at least one of the component and the system includes reconfiguring the flight control system to take into account a degradation of an actuator. 3. The method of claim 1, further comprising feeding back the reconfiguring of the at least one of the component and the system into the processing of the operating parameters and the system-level health. 4. The method of claim 1, further comprising inputting the system and component health into maintenance support. 5. The method of claim 1, further comprising detecting a level of degradation of the component that can be used to reduce false alarms in a Built-In Test system. 6. The method of claim 1, wherein reconfiguring at least one of the component and the system includes reconfiguring at least one of the component and the system using an integrated vehicle health management system. 7. The method of claim 1, further comprising integrating an integrated vehicle health management system with reconfigurable control, and performing tests of at least one of the component and the system during actual operation of the product. 8. The method of claim 1, wherein eigenvalues of a covariance matrix are computed from the PCA, and wherein the eigenvalues are used to compute the health assessment parameter. 9. The method of claim 4, wherein the maintenance support includes at least one of enable post-flight analysis and interpretation, and prognosis of the component and system. 10. The method of claim 5, further comprising trending one or more degradations to provide a prognostic capability. 11. The method of claim 8, wherein computing the health assessment parameter includes computing a health measurement function as scale(λmax)exp(BP(λ)). 12. The method of claim 8, wherein computing the health assessment function includes computing a health power spectrum as a function of the eigenvalues of a covariance matrix. 13. The method of claim 12, wherein the health power spectrum is determined as S hps ⁡ ( w ) = ∑ k = - ∞ ∞ ⁢ R lcf ⁡ ( k ) ⁢ ⅇ - j ⁢ ⁢ wk . 14. The method of claim 12, wherein the health power spectrum is developed from a Fast-Fourier Transform of an autocorrelation of an input vector X and a linear combined vector set Y.