Future prediction &amp; estimation of faults occurrences in oil pipelines by using data clustering with time series forecasting

Priyanka, E. B.; Chennippan, Maheswari; Thangavel, S.

doi:10.1016/j.jlp.2020.104203

Cited by 44 publications

(9 citation statements)

References 13 publications

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“…The indirect access and weakness are broke down vertically and evenly, which can give testing and assessment assurance to security reaction components, hostile and cautious specialized drills, ability group preparing, and framework development, and accomplish the advancement of data power furthermore, security. In light of the examination on the field of counterfeit intelligence-driven remote organizations far off observing (Bhaskaran et al 2020), the conventional security protection viability and insightful security safeguard adequacy are analyzed in different measurements and the outcome has appeared in Fig. 2.…”

Section: Wireless Monitoring Architecture Incorporated With Artificial Intelligencementioning

confidence: 99%

Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Priyanka

Thangavel

Sagayam

et al. 2021

Int J Syst Assur Eng Manag

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In the modern evolution, WSN (Wireless Sensor Network) incorporated with data aggregation platform which involves stimulating research area with various modern upgradation of AI (Artificial Intelligence). Many types of research are carried out by undertaking variety of Deep Learning Network and Fuzzy based data aggregation techniques in the interpretation of Wireless Sensor Circumstance. The focal theme of the proposed research paper is to analyze the present concentrated work on Artificial Intelligence-accompanied data aggregation paradigm in wireless communication by elaborating the integration framework. By this proposed AI with data aggregation wireless sensor system has upgraded the innovation with high empowering pillars in analyzing the data with more processing and interpretations. Since it also improves the data transmission rate by providing more security and encryption schemes to the preprocessed data storing and streaming ton the bandwidth channels. This paper enumerates the AI contribution on the computing platform with the various advancement of blockchain technology schematic framework and further its case study experimentation on the aero-engine applications. Further experimental results are provided with numerical analysis by showing the traditional and advanced-Long term Memory technique prediction results by taking aero-engine wireless sensor network environment through MATLAB simulation.

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Section: Wireless Monitoring Architecture Incorporated With Artificial Intelligencementioning

confidence: 99%

Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Priyanka

Thangavel

Sagayam

et al. 2021

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

show abstract

“…Considering iceberg collision as a heavy tail event, they used the maximum likelihood criterion to estimate the distribution parameters. Bhaskaran et al (2020) developed fault identification and prediction methods based on K-means clustering and time-series forecasting incorporated with linear regression algorithm to predict and assess the risk of crack and blockages due to abnormal pressure fluctuations.…”

Section: Green Open Access Added To Tu Delft Institutional Repositorymentioning

confidence: 99%

Special issue: Risk-based approaches to design and operation of process systems

Khakzad

Yang²

2021

Journal of Loss Prevention in the Process Industries

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“…This idea can promptly manage client portability necessity too as issues like vitality productivity and unwavering quality of service (QoS). Such multi-jump correspondence offers the likelihood to interface bigger sensor organizes by empowering progressively remote connections between every hub [97]. The WBANs are associated with one another and information directing is made to move the information up until the connector gadget (i.e., the entryway).…”

Section: Role Of Iot In Healthcarementioning

confidence: 99%

Untitled

2020

JESTR

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The modern wireless sensor network is focused on integrating the emerging technology of IoT with the real world for enhanced data processing to improve automation and communication more smartly and safely. In the present industrial upgradation with IoT application greatly proved its positive influences on the operation and management phases along with progressive adoption of cloud computing and big data analytics. In Industry, smart monitoring and distributed control of entire architecture are hold up with the renovated technology of the Internet of Things (IoT). It lies on the top layer of the wireless communication network to afford enhanced connectivity among smart wireless or wired sensor with the embedded modern controller to the cloud server. In IoT application, real-time data acquisition is done securely and transmitted to the data analytics services to identify any catastrophic situation existence. It is reliable and moved industrial automation to the next step evolution of formulating to make proactive decisions to decide and react to the industrial variation constraints. Though modernization has shifted to analog to the digital generation, it is interoperable with available protocols and data standardizations in industrial sectors. Hence this paper enumerates the detailed configurations and features of IoT application involved in the modern communication platform towards the development of smart cities by incorporating data mining using AI (Artificial Intelligence). Further, the trending overview of Industrial IoT application in risk-based environments with complete knowledge-based architecture with incorporated wireless technology and protocols are outlined.

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Future prediction & estimation of faults occurrences in oil pipelines by using data clustering with time series forecasting

Cited by 44 publications

References 13 publications

Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Special issue: Risk-based approaches to design and operation of process systems

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