The global navigation satellite system (GNSS), as a high-time resolution and high-precision measurement technology, has been widely used in the field of deformation monitoring. Owing to influence uncontrollable factors, there are inevitably some abnormal data GNSS monitoring series. Thus, it is necessary detect identify series improve accuracy reliability disaster law analysis warning. Many met...

In this paper, we study the performance properties of phase II exponential chart with an unknown in-control (IC) rate parameter, used to monitor high-yield processes. The average time signal (ATS) is as criterion instead usual run length (ARL). Based on IC conditional ATS (CATS) distribution, examine both equal-tailed and ATS-unbiased charts estimated control limits adjust so that a nominal ach...

The modified exponentially weighted moving-average (modified EWMA) control chart is an improvement on the traditional EWMA chart. Herein, we provide more details about using various values of additional design parameter for detecting small-to-moderate shifts in process mean autoregressive fractionally integrated (ARFI(p, d)) with exponential white noise running thereon. statistical performances...

Most commonly used control charts for monitoring quality characteristics of the processes were developed under the assumption that the observations are randomly sampled from a normal population. It is well known that these control charts have more false alarms than usual when processes are positively autocorrelated. One remedy is to adjust the control limits such that the modified control chart...

The cumulative sum (CUSUM) control chart can sensitively detect small-to-moderate shifts in the process mean. average run length (ARL) is a popular technique used to determine performance of chart. Recently, several researchers investigated processes on CUSUM by evaluating ARL using either Monte Carlo simulation or Markov chain. As these methods only yield approximate results, we developed solu...

To monitor time and magnitude, different types of control charts have been proposed in the literature. This article proposes a new maximum exponentially weighted moving average (Max-EWMA) chart by assuming Weibull distribution. The test-statistic Max-EWMA consists two EWMA statistics, where one statistic is used for monitoring magnitude while other to interval between events. performances asses...

In most real-world applications, such as production and manufacturing processes, the underlying process distribution does not always follow a normal distribution. cases, statistical control literature recommends use of nonparametric (or distribution-free) charts. This paper introduces new distribution-free precedence chart using repetitive sampling. The performance proposed is investigated in t...

The primary aim of this research is to propose a revised triple sampling (TS) X¯ chart, where the derivations new formulae for computing average run length chart correctly are provided. secondary develop TS with estimated process parameters. charts compared double (DS) X¯, two stage adaptive sample size (AS2) and three (AS3) when parameters known using (ARL), number observations signal (ANOS), ...

The univariate mean process monitoring is only used the information from study variable. One of control chart that to monitor GWMA chart. But, in this research, we need using variable and on adding or auxiliary enhanced research named AIB-GWMA In also made a comparison between know sensitivity effectiveness these effect monitoring. performance evaluated Average Run Length with help Monte Carlo ...

Standard control charts are often based on the assumption that the observations follow a specific parametric distribution, such as the normal. In many applications we do not have enough information to make this assumption and in such situations, development and application of control charts that do not depend on a particular distributional assumption is desirable. Nonparametric or distribution-...