.Classifying streaming data requires the development of methods which are computationally efficient and able to cope with changes in the underlying distribution of the stream, a phenomenon known in the literature as concept drift. We propose a new method for detecting concept drift which uses an Exponentially Weighted Moving Average (EWMA) chart to monitor the misclassification rate of an strea...

When the classical H∞ algorithm (HIF) is applied to estimate state of charge (SOC) a lithium battery, influence historical data usually ignored, resulting in an increase estimation error. In order improve accuracy SOC estimation, this paper proposes extended exponential weighted moving average (EE-HIF) view data. By designing Gaussian function, distribution at different times can effectively re...

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...

In industrial production, the exponentially weighted moving average scheme is widely used to monitor shifts in product quality, especially small-to-moderate shifts. this paper, we propose a modified one-sided EWMA for Type I right-censored Weibull lifetime data detecting scale parameter with shape fixed. A comparative analysis existing cumulative sum and results from literature provided. The ze...

This paper proposes new nonparametric hybrid exponentially weighted moving average (HEWMA) control charts based on simple random sampling (SRS) and ranked set (RSS) techniques using the Wilcoxon rank-sum W statistic. The in-control robustness out-of-co...

In recent years, the exponential-weighted-moving-average (EWMA) statistic based controllers are popular in semiconductor manufacturing. However, the single EWMA controller is not su3cient for compensating for the wear-out process. Thus, a double EWMA controller was proposed to enhance the capability for controlling the drifting process. In the literatures, in the solution of the double EWMA con...

Online monitoring of the multivariate coefficient variation (MCV) can be interest in many real situations which dispersion a process is meant to remain constant with regard its position. To this aim, several control charts have been recently proposed literature. In paper, new one-sided adaptive monitor MCV are proposed. The chart applies variable sampling interval (VSI) strategy on an exponenti...

Control charts are powerful tools to monitor quality characteristics of services or production processes. However, in some processes, the performance of process or product cannot be controlled by monitoring a characteristic; instead, they require to be controlled by a function that usually refers as a profile. This study suggests employing exponentially weighted moving average (EWMA) and range ...

Today, there is a crucial need for precise monitoring and prediction of energy consumption at the building level using latest technologies including Internet Things (IoT) data analytics to determine enhance usage. Data-driven models could be used prediction. However, due high non-linearity between inputs outputs models, these improvement in terms accuracy robustness. Therefore, this work aims p...