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AuthorMahmood T.
AuthorAbbasi S.A.
AuthorRiaz M.
AuthorAbbas N.
Available date2020-04-16T06:56:47Z
Publication Date2019
Publication NameArabian Journal for Science and Engineering
ResourceScopus
ISSN2193567X
URIhttp://dx.doi.org/10.1007/s13369-018-3426-5
URIhttp://hdl.handle.net/10576/14226
AbstractIn many manufacturing industries, quality of an item depends on different characteristics and their relationship may be modeled by profiles. For instance, in photo-voltaic (PV) system, output voltage is dependent on the capacitance level of capacitors, used in the Z-source inverter. Control chart is a dynamic tool that works under two different phases namely Phase I and Phase II. The unknown parameters are estimated in Phase I, while Phase II focuses on monitoring of the process using estimated control limits from Phase I. In this study, we have investigated Phase I monitoring of linear profile parameters under several sampling approaches including ranked set sampling (RSS), double RSS, median RSS (MRSS), double MRSS, extreme RSS (ERSS) and double ERSS. A comparative analysis on the performance of existing and proposed schemes is performed in terms of probability to signal. The results advocate that the proposed methods under different ranked set schemes offer superior detection abilities as compared to the existing schemes for varying shifts in profile parameters (intercept, slope and error variance). Moreover, a real application related to PV system is included to show the practical demonstration of the profile monitoring (for the output voltage in relation to capacitance level) under proposed schemes.
SponsorFunding Funding was provided by King Fahd University of Petroleum and Minerals (Grant No. IN171016).
Languageen
PublisherSpringer Verlag
SubjectControl chart
Linear profile parameters
Probability to signal
Ranked set sampling
Statistical process control
TitleAn Efficient Phase I Analysis of Linear Profiles with Application in Photo-Voltaic System
TypeArticle
Pagination2699-2716
Issue Number3
Volume Number44
dc.accessType Abstract Only


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