Design of Experiments Implementation towards Optimization of Power Distribution Networks

Vista sencilla de ítem
dc.contributor.authorLeal-Romo, Felipe J.
dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorHe, Jiangqi
dc.date.accessioned2019-08-30T18:13:47Z
dc.date.available2019-08-30T18:13:47Z
dc.date.issued2017-02
dc.descriptionModern computer servers require cutting edge technologies to meet their expected high performance. Among several relevant disciplines, power delivery (PD) is a key player in this regard. Efficient and reliable statistical methods to reduce cost while keeping adequate server’s performance are highly demanded from the PD perspective. This paper addresses a feasible statistical methodology based on design of experiments (DoE) for evaluating platform’s power delivery ingredients. Our methodology explores voltage regulator’s intrinsic parameters, compensation networks, non-linear compensation parameters, and the amount of bulk capacitors. Our statistical approach aims at identifying those variables with the largest impact on computer server’s PD performance, as well as optimizing them at the system level while achieving cost reduction.es
dc.identifier.citationF.J. Leal-Romo, J.E. Rayas-Sánchez, and J. He, “Design of experiments implementation towards optimization of power distribution networks,” in IEEE Latin American Symp. Circuits and Systems Dig. (LASCAS 2017), Bariloche, Argentina, Feb. 2017, pp. 1-4. DOI: 10.1109/LASCAS.2017.7948102es
dc.identifier.issn2473-4667
dc.identifier.urihttp://hdl.handle.net/11117/6004
dc.language.isoenges
dc.publisherIEEEes
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectEesign of Experimentses
dc.subjectLaboratory Correlationes
dc.subjectPower Delivery Simulationes
dc.subjectStatistics Controles
dc.subjectVoltage Regulatores
dc.titleDesign of Experiments Implementation towards Optimization of Power Distribution Networkses
dc.typeinfo:eu-repo/semantics/articlees
rei.peerreviewedYeses

Archivos

Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Leal_17Feb_DoE_for_PDN_Author_ver.pdf
Tamaño:
555.36 KB
Formato:
Adobe Portable Document Format
Descargar

Colecciones

DESI - Artículos y ponencias con arbitraje