Invention Grant
US08903750B1 Adaptive learning network for fusion of remaining useful life with machinery condition
有权
自适应学习网络将剩余使用寿命与机械条件融合
- Patent Title: Adaptive learning network for fusion of remaining useful life with machinery condition
- Patent Title (中): 自适应学习网络将剩余使用寿命与机械条件融合
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Application No.: US13591697Application Date: 2012-08-22
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Publication No.: US08903750B1Publication Date: 2014-12-02
- Inventor: Michael A. Bodkin , Gregory A. Harrison , Sreerupa Das , Richard M. Hall , Eric W. Worden
- Applicant: Michael A. Bodkin , Gregory A. Harrison , Sreerupa Das , Richard M. Hall , Eric W. Worden
- Applicant Address: US MD Bethesda
- Assignee: Lockheed Martin Corporation
- Current Assignee: Lockheed Martin Corporation
- Current Assignee Address: US MD Bethesda
- Agency: Withrow & Terranova, PLLC
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
Estimating a remaining useful life (RUL) of an apparatus is disclosed. A computer device may obtain a priori RUL data of an apparatus. The a priori RUL data identifies a priori RULs values of the apparatus as a function of time. Buckets are then defined in the a priori RUL data, wherein each of the buckets corresponds to a different set of the a priori RUL values in the a priori RUL data. An operational event indicator may then be obtained for the apparatus that indicates a current operational event of the apparatus. The RUL of an apparatus is estimated by determining probability values throughout a time period. Probability values are then determined based on the operational event indicator where each probability value quantifies a probability that a current RUL value of the first apparatus is within one of the buckets.
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