A network surveillance approach using machine learning based control charts

Yeganeh, Ali; Chukhrova, Nataliya; Johannssen, Arne; Fotuhi, Hatef

doi:10.1016/j.eswa.2023.119660

Cited by 22 publications

(8 citation statements)

References 69 publications

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“…Trabalhos recentes (Yeganeh et al, 2023;Lee, 2023) fizeram abordagens de controle de processos integradas ao machine learning para evitar erros na interpretação de gráficos, devido ao grande volume de dados gerados nos processos produtivos. Os gráficos de controle têm sido amplamente utilizados como método de monitoramento de processos on-line, no processo de detecção de ocorrências de falhas operacionais durante sua execução (Chan et al, 2002;He, 2013;Xi, 2009).…”

Section: Perspectivas De Pesquisas Futurasunclassified

Análise bibliométrica do controle estatístico de processo (CEP) aplicado ao processo de fabricação

Valença,

Oliveira

2024

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Neste trabalho, foi realizada uma extensa revisão bibliométrica sobre a produção científica de controle estatístico de processo, aplicada à indústria de transformação, mapeando as principais pesquisas da literatura, bem como os principais periódicos que estão publicando esta pesquisa. O controle estatístico de processo é uma das principais ferramentas que permitem aos gestores de produção determinar se os processos atendem aos requisitos pré-determinados pelos clientes, proporcionando melhor qualidade do produto e do processo. A análise ilustra a evolução da pesquisa nas últimas décadas, os principais periódicos para publicação, o nível de concentração ou fragmentação da comunidade científica e a densidade geográfica das colaborações em pesquisa. Por fim, também são apresentados os principais temas que têm sido abordados pela comunidade científica que debatem o CEP em aplicações de manufatura e pesquisas futuras para o direcionamento deste tema.

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Section: Perspectivas De Pesquisas Futurasunclassified

Análise bibliométrica do controle estatístico de processo (CEP) aplicado ao processo de fabricação

Valença,

Oliveira

2024

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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“…On the other hand, the on-line surveillance of the process for a quick detection of assignable causes is referred to as Phase II (or on-line monitoring). The occurrence of assignable causes, which is also known as Out-Of-Control (OC) condition, leads to the elimination of the predefined Phase I stability conditions in a process so it is expected that a control chart triggers an OC signal as soon as possible in Phase II [ 45 ]. In Phase I, the IC parameters (model) are derived from the historical data and then the control charts’ limits are designed.…”

Section: Preliminariesmentioning

confidence: 99%

A novel application of statistical process control charts in financial market surveillance with the idea of profile monitoring

Yeganeh

Shongwe

2023

PLoS ONE

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The implementation of statistical techniques in on-line surveillance of financial markets has been frequently studied more recently. As a novel approach, statistical control charts which are famous tools for monitoring industrial processes, have been applied in various financial applications in the last three decades. The aim of this study is to propose a novel application of control charts called profile monitoring in the surveillance of the cryptocurrency markets. In this way, a new control chart is proposed to monitor the price variation of a pair of two most famous cryptocurrencies i.e., Bitcoin (BTC) and Ethereum (ETH). Parameter estimation, tuning and sensitivity analysis are conducted assuming that the random explanatory variable follows a symmetric normal distribution. The triggered signals from the proposed method are interpreted to convert the BTC and ETH at proper times to increase their total value. Hence, the proposed method could be considered a financial indicator so that its signal can lead to a tangible increase of the pair of assets. The performance of the proposed method is investigated through different parameter adjustments and compared with some common technical indicators under a real data set. The results show the acceptable and superior performance of the proposed method.

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“…When the simulation studies are performed using IC profiles, then it is denoted as ARL 0 . It is expected to be reached as a target by the adjustment of UCL T 2 [51]. To better clarify, the following Algorithm 1 is suggested to obtain UCL T 2 .…”

Section: Phase II Analysismentioning

confidence: 99%

Data-Driven Surveillance of Internet Usage Using a Polynomial Profile Monitoring Scheme

Netshiozwi,

Yeganeh,

Shongwe

et al. 2023

Mathematics

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Control charts, which are one of the major tools in the Statistical Process Control (SPC) domain, are used to monitor a process over time and improve the final quality of a product through variation reduction and defect prevention. As a novel development of control charts, referred to as profile monitoring, the study variable is not defined as a quality characteristic; it is a functional relationship between some explanatory and response variables which are monitored in such a way that the major aim is to check the stability of this model (profile) over time. Most of the previous works in the area of profile monitoring have focused on the development of different theories and assumptions, but very little attention has been paid to the practical application in real-life scenarios in this field of study. To address this knowledge gap, this paper proposes a monitoring framework based on the idea of profile monitoring as a data-driven method to monitor the internet usage of a telecom company. By definition of a polynomial model between the hours of each day and the internet usage within each hour, we propose a framework with three monitoring goals: (i) detection of unnatural patterns, (ii) identifying the impact of policies such as providing discounts and, (iii) investigation of general social behaviour variations in the internet usage. The results shows that shifts of different magnitudes can occur in each goal. With the aim of different charting statistics such as Hoteling T2 and MEWMA, the proposed framework can be properly implemented as a monitoring scheme under different shift magnitudes. The results indicate that the MEWMA scheme can perform well in small shifts and has faster detection ability as compared to the Hoteling T2 scheme.

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A network surveillance approach using machine learning based control charts

Cited by 22 publications

References 69 publications

Análise bibliométrica do controle estatístico de processo (CEP) aplicado ao processo de fabricação

Análise bibliométrica do controle estatístico de processo (CEP) aplicado ao processo de fabricação

A novel application of statistical process control charts in financial market surveillance with the idea of profile monitoring

Data-Driven Surveillance of Internet Usage Using a Polynomial Profile Monitoring Scheme

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