Metrics and Semiparametric Model Estimating Failure Rate and Mean time Between Failures

US2016306903A9 · US · A9

Patent metadata
FieldValue
Publication numberUS-2016306903-A9
Application numberUS-201314047879-A
CountryUS
Kind codeA9
Filing dateOct 7, 2013
Priority dateApr 14, 2011
Publication dateOct 20, 2016
Grant date

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Abstract

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Techniques for predicting a failure metric of a physical system using a semiparametric model, including providing raw data representative of the physical system, to identify a set of units at risk in the physical system, a set of times of treatment corresponding to a event of at least one unit in the set of units, and an index-set of the at least one unit for which a event has occurred. A parametric and a nonparametric component of the semiparametric model are estimated and a hazard rate is predicted at a given time with the semiparametric model.

First claim

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1 . A method of predicting a metric of a physical system using a semiparametric model, comprising: providing raw data representative of the physical system; processing the raw data to identify a set of units at risk in the physical system, a set of times of treatment corresponding to a event of at least one unit in the set of units, and an index-set of the at least one unit for which a event has occurred; estimating a nonparametric component of the semiparametric model with reference to the set of units, the set of times, and the index-set; and predicting a hazard rate at a given time with the semiparametric model. 2 . The method of claim 1 , further comprising estimating a parametric component of the semiparametric model with reference to the set of units, the set of times, and the index-set. 3 . The method of claim 1 , wherein the event is a failure event. 4 . The method of claim 1 , wherein the metric is a failure metric. 5 . The method of claim 1 , wherein the metric comprises a mean time between failures. 6 . The method of claim 1 , further comprising storing the set of units, the set of times of treatment, and the index-set. 7 . The method of claim 1 , wherein providing raw data further comprises providing raw data in real time. 8 . The method of claim 1 , wherein the physical system is a cyber-physical system. 9 . The method of claim 1 , wherein the physical system is an electrical grid. 10 . The method of claim 1 , wherein the raw data represents an outage database. 11 . The method of claim 1 , wherein each treatment in the set of times of treatment comprises a single “all-or-nothing” treatment occurring at a recorded time. 12 . The method of claim 2 , further comprising: estimating the nonparametric component as zero for all times except those included in the set of times of treatment and estimating the parametric component; and estimating the nonparametric component using a weighted nonparametric estimator using a the estimate of the parametric component. 13 . The method of claim 1 , further comprising: removing from the index-set units for which the times at which a event occurs is unknown or for which the treatment is unknown. 14 . The method of claim 1 , further comprising smoothing the nonparametric component with a smoothing process. 15 . The method of claim 14 , wherein the smoothing process is a Gaussian smoothing process. 16 . The method of claim 2 , wherein the nonparametric component is given by λ 0 (t), the parametric component is given by ψ(t)= φ(t) , the hazard rate is predicted with reference to the semiparametric model given by λ(t;i)=λ 0 (t)ψ(t−τ l,i ), and a full likelihood of failure is given by l  ( λ 0  ( · ) , ψ  ( · ) ) = ( ∏ t ∈ t   λ 0  ( t )  ψ  ( t - τ i , t  ( t ) ) ) ×  - ∫ 0 T  ∑ j ∈   ( t )  λ 0  ( t )  ψ  ( t - τ t , i  ( t )

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  • Power analysis or power optimisation · CPC title

  • Probabilistic or stochastic CAD · CPC title

  • using formal methods, e.g. equivalence checking or property checking · CPC title

  • Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

  • G06F11/008Primary

    Reliability or availability analysis · CPC title

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What does patent US2016306903A9 cover?
Techniques for predicting a failure metric of a physical system using a semiparametric model, including providing raw data representative of the physical system, to identify a set of units at risk in the physical system, a set of times of treatment corresponding to a event of at least one unit in the set of units, and an index-set of the at least one unit for which a event has occurred. A param…
Who is the assignee on this patent?
Univ Columbia
What technology area does this patent fall under?
Primary CPC classification G06F30/3323. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Oct 20 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A9). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).