نتایج جستجو برای: multivariate control chart

تعداد نتایج: 1453544  

Journal: :international journal of data envelopment analysis 2014
s. jafarian-namin a. amiri e. najafi

control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. optimally selecting these parameters depends on several process parameters, which have been considered from statistical and...

2013
A M Razmy T S G Peiris

Control charts for monitoring of process variance are developed based on Shewhart, exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts for mean. In all these variance control charts, log transformation of the sample variance is used. The design procedure of this chart is complex and it is poorly understood by the industry. In this paper a EWMA chart for monito...

2008
Alireza Faraz M. B. Moghadam

Some quality control schemes have been developed when several related quality characteristics are to be monitored. The familiar multivariate process monitoring and control procedure is the Hotelling’s T 2 control chart for monitoring the mean vector of the process. It is a direct analog of the univariate shewhart x̄ chart. As in the case of univariate, the ARL improvements are very important par...

Journal: :journal of mining and environment 0
h. khoshdast mining engineering department, higher education complex of zarand, shahid bahonar university of kerman, kerman, iran m. mahmoodabadi mining engineering department, higher education complex of zarand, shahid bahonar university of kerman, kerman, iran

a new method is developed for a fast identification of the stability situation of industrial processes. the proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. an indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...

2016
M. S. Hamed

The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate exponentially weighted moving average (MEWMA) developed by Lowry, et al (1992) is an example of a multivariate charting scheme whose monitoring statistic is unable to determine which variable caused the signal. In this paper, the run length performance of m...

Journal: :Entropy 2015
Cheng Zhou Weidong Zhang

Because of the importance of damage detection in manufacturing systems and other areas, many fault detection methods have been developed that are based on a vibration signal. Little work, however, has been reported in the literature on using a recurrence plot method to analyze the vibration signal for damage detection. In this paper, we develop a recurrence plot based fault detection method by ...

Journal: :Quality and Reliability Eng. Int. 2007
Ling Yang Shey-Huei Sheu

The goal of engineering process control (EPC) is to minimize variability by adjusting some manipulative process variables. The goal of statistical process control (SPC) is to reduce variability by monitoring and eliminating assignable causes of variation. As suggested by Box and Kramer and others, it is possible to reduce both special cause and common cause variations by integrating EPC and SPC...

Journal: :IEEE Access 2021

As a common approach in the development of control charts Statistical Process Control (SPC), an industrial process is monitored with one or more quality characteristics using their corresponding distributions. Note though, modelling through relation between some independent and dependent variables alternative which designated as profiles monitoring. This study proposes integration adaptive to c...

Journal: :MATEC web of conferences 2021

Hotelling T 2 control chart not only reflects the correla-tions between different quality characteristics but also has good efficiency on monitoring multivariate in production process. A new alternative was constructed after original products data are processed by using exponentially weighted moving average for cumulating failure effects because is ineffective detecting minimal mean deviations....

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید