Publicação
A Simulation of Data Censored Rigth Type I with Weibull Distribution
| Resumo: | In the maintenance and reliability field, there are frequent analyses with data being censored. In reliability research, many articles do simulation, but few explain how they do it. the loss of information resulting from the unavailable exact failure times will impact negatively the efficiency of reliability analysis. This paper presents four different algorithms to generate random data with a different number of censored values. The four algorithms are compared, and tree parameters are used to select the best one. The Weibull distribution is used to generate the random numbers because it is one of the most used in reliability studies. The results of the algorithm chosen are very relevant; with a sample of n = 50 and a number of cycles of simulations m = 1000, the standard deviation is higher when the shape factor of Weibull distribution is beta = 0.5 and slowly decreases until the shape factor equals 5. The percentage error (PE), one of the indicators selected, is much higher when the percentage of censored data is c = 5%, then goes down when the shape factor increases. There is a different behaviour when censored data is C = 20% and the percentage error (PE) is higher when shape factor is beta = 1.5. This article presents an algorithm that it considers the best for simulating right-censored type-I data. The algorithm has excellent accuracy, random data i.i.d and excellent computational performance. |
|---|---|
| Autores principais: | Gaspar, Daniel |
| Outros Autores: | Andrande Ferreira, Luis |
| Assunto: | Reliability Weibull distribution Algorithm simulation Data censored |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Viseu |
| Idioma: | inglês |
| Origem: | Repositório Científico do Instituto Politécnico de Viseu |
| _version_ | 1868350906420953088 |
|---|---|
| author | Gaspar, Daniel |
| author2 | Andrande Ferreira, Luis |
| author2_role | author |
| author_facet | Gaspar, Daniel Andrande Ferreira, Luis |
| author_role | author |
| contributor_name_str_mv | Instituto Politécnico de Viseu |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Gaspar, Daniel\"},{\"Person.name\":\"Andrande Ferreira, Luis\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Instituto Politécnico de Viseu |
| datacite.creators.creator.creatorName.fl_str_mv | Gaspar, Daniel Andrande Ferreira, Luis |
| datacite.date.Accepted.fl_str_mv | 2022-11-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-09-12T09:21:14Z |
| datacite.date.embargoed.fl_str_mv | 2023-09-12T09:21:14Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Reliability Weibull distribution Algorithm simulation Data censored |
| datacite.titles.title.fl_str_mv | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| dc.contributor.none.fl_str_mv | Instituto Politécnico de Viseu |
| dc.creator.none.fl_str_mv | Gaspar, Daniel Andrande Ferreira, Luis |
| dc.date.Accepted.fl_str_mv | 2022-11-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-09-12T09:21:14Z |
| dc.date.embargoed.fl_str_mv | 2023-09-12T09:21:14Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.19/7918 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | IEEE345 E 47TH ST, NEW YORK, NY 10017 USA |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Reliability Weibull distribution Algorithm simulation Data censored |
| dc.title.fl_str_mv | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | In the maintenance and reliability field, there are frequent analyses with data being censored. In reliability research, many articles do simulation, but few explain how they do it. the loss of information resulting from the unavailable exact failure times will impact negatively the efficiency of reliability analysis. This paper presents four different algorithms to generate random data with a different number of censored values. The four algorithms are compared, and tree parameters are used to select the best one. The Weibull distribution is used to generate the random numbers because it is one of the most used in reliability studies. The results of the algorithm chosen are very relevant; with a sample of n = 50 and a number of cycles of simulations m = 1000, the standard deviation is higher when the shape factor of Weibull distribution is beta = 0.5 and slowly decreases until the shape factor equals 5. The percentage error (PE), one of the indicators selected, is much higher when the percentage of censored data is c = 5%, then goes down when the shape factor increases. There is a different behaviour when censored data is C = 20% and the percentage error (PE) is higher when shape factor is beta = 1.5. This article presents an algorithm that it considers the best for simulating right-censored type-I data. The algorithm has excellent accuracy, random data i.i.d and excellent computational performance. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.ipv.pt/bitstreams/dd28230a-3c0c-4077-a106-35008154eaba/download |
| id | ripv_8f2aacad13ff19ebe669abf1d06d8317 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.19/7918 |
| instacron_str | ripv |
| institution | Instituto Politécnico de Viseu |
| instname_str | Instituto Politécnico de Viseu |
| language | eng |
| network_acronym_str | ripv |
| network_name_str | Repositório Científico do Instituto Politécnico de Viseu |
| oai_identifier_str | oai:repositorio.ipv.pt:10400.19/7918 |
| organization_str_mv | urn:organizationAcronym:ripv |
| person_str_mv | Gaspar, Daniel Andrande Ferreira, Luis |
| publishDate | 2022 |
| publisher.none.fl_str_mv | IEEE345 E 47TH ST, NEW YORK, NY 10017 USA |
| reponame_str | Repositório Científico do Instituto Politécnico de Viseu |
| repository_id_str | urn:repositoryAcronym:ripv |
| service_str_mv | urn:repositoryAcronym:ripv |
| spelling | engIEEE345 E 47TH ST, NEW YORK, NY 10017 USApt_PTIn the maintenance and reliability field, there are frequent analyses with data being censored. In reliability research, many articles do simulation, but few explain how they do it. the loss of information resulting from the unavailable exact failure times will impact negatively the efficiency of reliability analysis. This paper presents four different algorithms to generate random data with a different number of censored values. The four algorithms are compared, and tree parameters are used to select the best one. The Weibull distribution is used to generate the random numbers because it is one of the most used in reliability studies. The results of the algorithm chosen are very relevant; with a sample of n = 50 and a number of cycles of simulations m = 1000, the standard deviation is higher when the shape factor of Weibull distribution is beta = 0.5 and slowly decreases until the shape factor equals 5. The percentage error (PE), one of the indicators selected, is much higher when the percentage of censored data is c = 5%, then goes down when the shape factor increases. There is a different behaviour when censored data is C = 20% and the percentage error (PE) is higher when shape factor is beta = 1.5. This article presents an algorithm that it considers the best for simulating right-censored type-I data. The algorithm has excellent accuracy, random data i.i.d and excellent computational performance.application/pdfpt_PTA Simulation of Data Censored Rigth Type I with Weibull DistributionGaspar, DanielAndrande Ferreira, LuisHostingInstitutionOrganizationalInstituto Politécnico de Viseue-mailmailto:repositorio@sc.ipv.ptrepositorio@sc.ipv.ptDOIIsPartOf10.1109/ICSRS56243.2022.100674502023-09-12T09:21:14Z2022-112022-11-01T00:00:00ZHandlehttp://hdl.handle.net/10400.19/7918http://purl.org/coar/access_right/c_abf2open accessReliabilityWeibull distributionAlgorithm simulationData censored262518 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipv.pt/bitstreams/dd28230a-3c0c-4077-a106-35008154eaba/download2022 6TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY, ICSRS505511Venice, Italy |
| spellingShingle | A Simulation of Data Censored Rigth Type I with Weibull Distribution Gaspar, Daniel Reliability Weibull distribution Algorithm simulation Data censored |
| status | SINGLETON |
| subject.fl_str_mv | Reliability Weibull distribution Algorithm simulation Data censored |
| title | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| title_full | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| title_fullStr | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| title_full_unstemmed | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| title_short | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| title_sort | A Simulation of Data Censored Rigth Type I with Weibull Distribution |
| topic | Reliability Weibull distribution Algorithm simulation Data censored |
| topic_facet | Reliability Weibull distribution Algorithm simulation Data censored |
| url | http://hdl.handle.net/10400.19/7918 |
| visible | 1 |