The individuals control charts for burr distributed and Weibull distributed data
Özet
Constructing the control limits supposes the assumption of the normality. However, there are numerous studies on the control charts when the underlying distribution is non-normal. Several authors have investigated the effect of departures from normality on control charts. This paper proposes a skewness correction method for setting the individuals control charts. It provides asymetric individuals control limits with the calculation of the skewness of the underlying distribution. The Chart is simply an adjustment of the " Skewness Correction x¯ and R charts for Skewed Distributions" written by Lai and Cui. The results of the simulation study for the generated Burr distributed data and the generated Weibull distributed data for n equal to five and seven are given.
Kaynak
WSEAS Transactions on MathematicsCilt
5Sayı
5Bağlantı
https://hdl.handle.net/11421/17755Koleksiyonlar
- Makale Koleksiyonu [129]
- Scopus İndeksli Yayınlar Koleksiyonu [8325]
İlgili Öğeler
Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.
-
Tuning of controller for an aircraft flight control system based on particle swarm optimization
Kıyak, Emre (Emerald Group Publishing LTD, 2016)Purpose - This study aims to present a method for the conceptual design and simulation of an aircraft flight control system. Design/methodology/approach - The design methodology is based on particle swarm optimization ... -
Fault tolerant control against actuator faults based on enhanced PID controller for a quadrotor
Ermeydan, Ahmet; Kıyak, Emre (Emerald Group Publishing LTD, 2017)Purpose - The purpose of this paper is to present fault tolerant control of a quadrotor based on the enhanced proportional integral derivative (PID) structure in the presence of one or more actuator faults. Design/method ... -
An intelligent control approach to decentralized routing and flow control in highways
İftar, Altuğ (I E E E, 1997)A decentralized intelligent controller for routing in multi-destination transportation networks is presented. The controller is based on a dynamic congestion measure which was recently derived from the solution of an optimal ...