Estimation of corrosion failure likelihood of oil and gas pipeline based on fuzzy logic approach

Zhou, Qi; Wu, Wei; Liu, Dongpeng; Li, Kaikai; Qiao, Qiao

doi:10.1016/j.engfailanal.2016.07.014

Cited by 53 publications

(13 citation statements)

References 17 publications

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“…The selected fuzzy rules base will be used to calculate the optimal order value during the defuzzification process. The Fuzzy rule base is Ri: If X1 is A1i and X2 is A2i, an Xm is Ami Then Y is Bi; i=1; 2;…n with the operator used is "and" so that the selected operator value is the minimum value [51], [52].…”

Section: Fuzzy Rule Basementioning

confidence: 99%

SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic

Santosa¹,

Hidayat²,

Siskandar³

2021

IJ-AI

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<span>The availability of stock in the chicken egg supply chain is influenced by the ability of egg Agents to determine the optimal orders to suppliers. The optimal number of orders is very important to manage for the Bogor City Egg Agent Indonesia because the stock capacity reaches 340 crates. The optimal number of orders for eggs at the Egg Agent is influenced by input variables, namely final stock (crate), selling price (crate), and consumer demand (crate) so that the inventory is under control. The three input variables have fuzzy values that must be processed using fuzzy logic to get the optimal number of orders to suppliers so that the egg stock in the warehouse is well maintained. The optimal order model for eggs in the smart application for egg agent (SAFEA) was developed using a fuzzy logic approach with the triangular and trapezoidal membership function. Based on the optimal order model in the SAFEA application, the optimal order to the supplier is 100-104 crates per day.</span>

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Section: Fuzzy Rule Basementioning

confidence: 99%

SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic

Santosa¹,

Hidayat²,

Siskandar³

2021

IJ-AI

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“…Such scientists as Magomedov R., Paizulaev M., Gebel E. [5] studied the reliability of oil pipelines working under aggressive conditions. A group of scientists [6] have estimated the probability of corrosion failures in an oil and gas pipeline based on a fuzzy logic approach. Also the methodology for assessing the reliability of gas supply to the natural gas pipeline system was developed and three aspects of uncertainty and the hydraulic characteristics of the natural gas pipeline system was considered [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of the Gas Transmission Reliability as a Component of Economical Security of Ukrainian Gas Transmission System

Zelinska¹,

Fedorovych²,

Андрусів³

et al. 2019

Proceedings of the 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSM

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The article focuses on the reliability of the gas pipeline system. The decrease in the reliability of the gas transmission system can be considered from two sides. On one hand, it increases the expanses. On the other hand, there is a threat to public health and the loss of human and natural resources. It is proved that the main reason for reducing the reliability of the natural gas transmission process is the significant equipment ageing. The possibility to increase the reliability of the linear part of the main gas pipelines by conducting a quality repair system and equipment upgrades is substantiated. It is determined that the failure rate depends on the diameter and the number of the pipelines. The model of the failure rate process and average recovery time is offered to reduce the financial expenses of the enterprise.

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“…The design of the proposed FL controller is explained and the procedure is summarized as follows [39,40].…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

A Fast Multi-Switched Inductor Balancing System Based on a Fuzzy Logic Controller for Lithium-Ion Battery Packs in Electric Vehicles

et al. 2017

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Based on a low cost multi-switched inductor balancing circuit (MSIBC), a fuzzy logic (FL) controller is proposed to improve the balancing performances of lithium-ion battery packs instead of an existing proportional-integral (PI) controller. In the proposed FL controller, a cell's open circuit voltages (OCVs) and their differences in the pack are used as the inputs, and the output of the FL controller is the balancing current. The FL controller for the MSIBC has the advantage of maintaining high balancing currents over the existing PI controller in almost the entire balancing process for different lithium battery types. As a result, the proposed FL controller takes a much shorter time to achieve battery pack balancing, and thus more pack capacity can be recovered. This will help to improve the pack performance in electric vehicles and extend the serving time of the battery pack.

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Estimation of corrosion failure likelihood of oil and gas pipeline based on fuzzy logic approach

Cited by 53 publications

References 17 publications

SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic

SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic

Modeling of the Gas Transmission Reliability as a Component of Economical Security of Ukrainian Gas Transmission System

A Fast Multi-Switched Inductor Balancing System Based on a Fuzzy Logic Controller for Lithium-Ion Battery Packs in Electric Vehicles

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