Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution
In this study we considered five generalizations of the standard Weibull distribution to describe the lifetime of two important components of harvest sugarcane machines. The harvesters considered in the analysis does the harvest of an average of 20 tons of sugarcane per hour and their malfunction ma...
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creator | Ramos, Pedro Luiz Nascimento, Diego Cocolo, Camila Nicola, Márcio José Alonso, Carlos Ribeiro, Luiz Gustavo Ennes, André Louzada, Francisco |
description | In this study we considered five generalizations of the standard Weibull
distribution to describe the lifetime of two important components of harvest
sugarcane machines. The harvesters considered in the analysis does the harvest
of an average of 20 tons of sugarcane per hour and their malfunction may lead
to major losses, therefore, an effective maintenance approach is of main
interesting for cost savings. For the considered distributions, the
mathematical background is presented. Maximum likelihood is used for parameter
estimation. Further, different discrimination procedures were used to obtain
the best fit for each component. At the end, we propose a maintenance
scheduling for the components of the harvesters using predictive analysis. |
doi_str_mv | 10.48550/arxiv.1712.03304 |
format | Article |
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distribution to describe the lifetime of two important components of harvest
sugarcane machines. The harvesters considered in the analysis does the harvest
of an average of 20 tons of sugarcane per hour and their malfunction may lead
to major losses, therefore, an effective maintenance approach is of main
interesting for cost savings. For the considered distributions, the
mathematical background is presented. Maximum likelihood is used for parameter
estimation. Further, different discrimination procedures were used to obtain
the best fit for each component. At the end, we propose a maintenance
scheduling for the components of the harvesters using predictive analysis.</description><identifier>DOI: 10.48550/arxiv.1712.03304</identifier><language>eng</language><subject>Statistics - Applications</subject><creationdate>2017-12</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1712.03304$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1712.03304$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Ramos, Pedro Luiz</creatorcontrib><creatorcontrib>Nascimento, Diego</creatorcontrib><creatorcontrib>Cocolo, Camila</creatorcontrib><creatorcontrib>Nicola, Márcio José</creatorcontrib><creatorcontrib>Alonso, Carlos</creatorcontrib><creatorcontrib>Ribeiro, Luiz Gustavo</creatorcontrib><creatorcontrib>Ennes, André</creatorcontrib><creatorcontrib>Louzada, Francisco</creatorcontrib><title>Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution</title><description>In this study we considered five generalizations of the standard Weibull
distribution to describe the lifetime of two important components of harvest
sugarcane machines. The harvesters considered in the analysis does the harvest
of an average of 20 tons of sugarcane per hour and their malfunction may lead
to major losses, therefore, an effective maintenance approach is of main
interesting for cost savings. For the considered distributions, the
mathematical background is presented. Maximum likelihood is used for parameter
estimation. Further, different discrimination procedures were used to obtain
the best fit for each component. At the end, we propose a maintenance
scheduling for the components of the harvesters using predictive analysis.</description><subject>Statistics - Applications</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotkMtqwzAQRb3poqT9gK6qH7BrW_KruxL6gkCgBLo0I2lkD8hykexQ5wf623XSbuZcuDOzOFF0l6WJqIsifQD_Tcckq7I8STlPxXX084GWQJKlaYkVugk9ajYArcmBU_jIwIFdTuQ6ZoDs7JGRYz34I4aJhbkDr8DheqN6WjmH82oYB2QdOvRg6QQTjS6w0bCpR_aJJGdrmaYw-TWey5voyoANePvPTXR4eT5s3-Ld_vV9-7SLoaxEnNVZbYwuy6JMK21QgJDANXAjtcBSSqNEmeZ1UykQKNcpm5wXwIscG1i5ie7_3l5MtF-eBvBLezbSXozwX_P5YM8</recordid><startdate>20171208</startdate><enddate>20171208</enddate><creator>Ramos, Pedro Luiz</creator><creator>Nascimento, Diego</creator><creator>Cocolo, Camila</creator><creator>Nicola, Márcio José</creator><creator>Alonso, Carlos</creator><creator>Ribeiro, Luiz Gustavo</creator><creator>Ennes, André</creator><creator>Louzada, Francisco</creator><scope>EPD</scope><scope>GOX</scope></search><sort><creationdate>20171208</creationdate><title>Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution</title><author>Ramos, Pedro Luiz ; Nascimento, Diego ; Cocolo, Camila ; Nicola, Márcio José ; Alonso, Carlos ; Ribeiro, Luiz Gustavo ; Ennes, André ; Louzada, Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a674-1818ffd665607dfe4a4ba3da3fbd4e6bbfc4602897ca4eb7cab9235a352e9a5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Statistics - Applications</topic><toplevel>online_resources</toplevel><creatorcontrib>Ramos, Pedro Luiz</creatorcontrib><creatorcontrib>Nascimento, Diego</creatorcontrib><creatorcontrib>Cocolo, Camila</creatorcontrib><creatorcontrib>Nicola, Márcio José</creatorcontrib><creatorcontrib>Alonso, Carlos</creatorcontrib><creatorcontrib>Ribeiro, Luiz Gustavo</creatorcontrib><creatorcontrib>Ennes, André</creatorcontrib><creatorcontrib>Louzada, Francisco</creatorcontrib><collection>arXiv Statistics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ramos, Pedro Luiz</au><au>Nascimento, Diego</au><au>Cocolo, Camila</au><au>Nicola, Márcio José</au><au>Alonso, Carlos</au><au>Ribeiro, Luiz Gustavo</au><au>Ennes, André</au><au>Louzada, Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution</atitle><date>2017-12-08</date><risdate>2017</risdate><abstract>In this study we considered five generalizations of the standard Weibull
distribution to describe the lifetime of two important components of harvest
sugarcane machines. The harvesters considered in the analysis does the harvest
of an average of 20 tons of sugarcane per hour and their malfunction may lead
to major losses, therefore, an effective maintenance approach is of main
interesting for cost savings. For the considered distributions, the
mathematical background is presented. Maximum likelihood is used for parameter
estimation. Further, different discrimination procedures were used to obtain
the best fit for each component. At the end, we propose a maintenance
scheduling for the components of the harvesters using predictive analysis.</abstract><doi>10.48550/arxiv.1712.03304</doi><oa>free_for_read</oa></addata></record> |
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title | Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution |
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