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dc.contributor.author
Pfefferman, Jonas  
dc.contributor.author
Cernuschi Frias, Bruno  
dc.date.available
2020-07-24T15:07:14Z  
dc.date.issued
2002-12  
dc.identifier.citation
Pfefferman, Jonas; Cernuschi Frias, Bruno; A nonparametric nonstationary procedure for failure prediction; Institute of Electrical and Electronics Engineers; Ieee Transactions On Reliability; 51; 4; 12-2002; 434-442  
dc.identifier.issn
0018-9529  
dc.identifier.uri
http://hdl.handle.net/11336/110171  
dc.description.abstract
The time between failures is a very useful measurement to analyze reliability models for time-dependent systems. In many cases, the failure-generation process is assumed to be stationary, even though the process changes its statistics as time elapses. This paper presents a new estimation procedure for the probabilities of failures; it is based on estimating time-between-failures. The main characteristics of this procedure are that no probability distribution function is assumed for the failure process, and that the failure process is not assumed to be stationary. The model classifies the failures in Q different types, and estimates the probability of each type of failure s-independently from the others. This method does not use histogram techniques to estimate the probabilities of occurrence of each failure-type; rather it estimates the probabilities directly from the values of the time-instants at which the failures occur. The method assumes quasistationarity only in the interval of time between the last 2 occurrences of the same failure-type. An inherent characteristic of this method is that it assigns different sizes for the time-windows used to estimate the probabilities of each failure-type. For the failure-types with low probability, the estimator uses wide windows, while for those with high probability the estimator uses narrow windows. As an example, the model is applied to software reliability data.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
PREDICTIVE VALIDITY  
dc.subject
SOFTWARE RELIABILITY MODEL  
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
A nonparametric nonstationary procedure for failure prediction  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-07-01T17:33:18Z  
dc.journal.volume
51  
dc.journal.number
4  
dc.journal.pagination
434-442  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
New York  
dc.description.fil
Fil: Pfefferman, Jonas. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina  
dc.description.fil
Fil: Cernuschi Frias, Bruno. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina  
dc.journal.title
Ieee Transactions On Reliability  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/1044341  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TR.2002.804733