Applying Case-Based Reasoning Method for Decision Making in IIoT System

Kuzyakov, O.N.; Andreeva, M. A.

doi:10.1109/fareastcon50210.2020.9271301

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…The CBR method is also used in continuous processes (for instance, in gas conditioning [12], flotation [13], continuous casting [14] and cement production [15][16][17]).…”

Section: Cbr-technology Applicationmentioning

confidence: 99%

“…Regarding gas conditioning, it is proposed in [12] to valuate a situation (normal, emergency, potential emergency), predict it, to give recommendations to maintenance personnel, and to assess the confidence of the type and cause of an accident using a distant CBR system and the inputs as the values of main process variables such as: barometric pressure, gas temperature, rate speeds of rotors of turbines and pumps, temperature difference of gas before and after compressor, vibration, and some others.…”

Section: Cbr-technology Applicationmentioning

confidence: 99%

“…The efficiency of a CBR-system [12,29] and productivity of a search for similar cases depends on a chosen similarity metric. This subjectiveness constitutes a major challenge in using the approach.…”

Section: Cbr-based Controlmentioning

confidence: 99%

“…According to the concept of industrial internet of things, a bulk of control functions may be given to high-performance servers at data processing centers, while the number and complexity of lower level facilities may jump [12,32]. In the framework of this concept and CBR approach, we propose the structure of a control system in Fig.…”

Section: Cbr-based Controlmentioning

confidence: 99%

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Application of case-based reasoning in hazard evaluation in complex process flow control

Trofimov,

Temkin,

Solodov

2023

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The article discusses the Case-Based Reasoning method which enables solving new problems that may arise during decision-making by using or adapting solutions of the similar known problems on the basis of accumulated data and knowledge on past situations or cases contained in a knowledge base. The metrics of similarity between the parameters of a current situation and previous cases, and the methods to retrieve and adapt the cases are described. The case information model used for the process management is presented and exemplified.The conditions and ranges of efficient case-based reasoning application in the socio-technical system control in case of nonstationary, nonlinear and sluggish processes are discussed.The authors propose the procedure for searching similar cases using the classical metrics and the Random Forest method, and describe the generalized control of a complex process or an object using the concepts of the industrial internet of things and the case-based reasoning.

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“…The CBR method is also used in continuous processes (for instance, in gas conditioning [12], flotation [13], continuous casting [14] and cement production [15][16][17]).…”

Section: Cbr-technology Applicationmentioning

confidence: 99%

Section: Cbr-technology Applicationmentioning

confidence: 99%

Section: Cbr-based Controlmentioning

confidence: 99%

Section: Cbr-based Controlmentioning

confidence: 99%

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Application of case-based reasoning in hazard evaluation in complex process flow control

Trofimov,

Temkin,

Solodov

2023

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Predictive Analytics for Proactive Maintenance in Industrial IoT Applications

Mabel Rani,

Yasotha,

et al. 2023

2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

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ADAPTATION of SOLUTION OF THE CBR-SYSTEM IN THE APPEARANCE OF NEW SITUATIONS

Глухих¹,

Глухих²

2022

Южно-Сибирский Научный Вестник

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Метод вывода решений на прецедентах многими авторами рассматривается как основа для создания систем интеллектуальных поддержки принятия решений в различных предметных областях. Знания в виде прецедентов <ситуация, решение> хранятся в системе и используются при возникновении некоторой новой проблемной ситуации. Для применения в актуальной ситуации верного решения предусмотрен механизм поиска такой ситуации, которая отвечает заданному критерию сходства с актуальной, и вывода пользователям того решения, которое образует прецедент вместе с ситуацией из базы. Один из важных комплексов задач CBR-систем связан с проблемой адаптации решений, которая возникает в тех случаях, когда при возникновении новой ситуации CBR-система не находит в своей базе прецедентов (БП) похожей ситуации и не может рекомендовать готового и надежного решения. Данная статья направлена на изучение вопросов адаптации решений. В работе поставлена задача адаптации решений и предложена алгоритмизация адаптации решений. В результате исследования задача адаптации разделена на два типа: поиск подходящего решения в цепочках программ действий в БП и сборка (синтез) нового решения. В первом случае предполагается использование некоторой части готовой программы действий в качестве нового решения для актуальной ситуации. Во втором случае из разных программ действий, хранящихся в БП, поэлементно собирается новое решение. Представлены алгоритмы адаптации решений. Предложенные задачи и алгоритмы позволяют находить решение при возникновении ситуаций, которые не описаны в базе прецедентов CBR-системы и, таким образом, повышают надежность ее работы. The case-based reasoning method is considered by many authors as the basis for creating intelligent decision support systems in various subject areas. Knowledge in the form of precedents <situation, solution> is stored in the system and used when some new problem situation arises. To apply the correct solution in an actual situation, a mechanism is provided for searching for such a situation that meets the specified criterion of similarity with the current one, and displaying to users the solution that forms a precedent together with the situation from the database. One of the important tasks of CBR-systems is related to the problem of adapting solutions, which arises when, when a new situation arises, the CBR-system does not find a similar situation in its precedents database (PD) and cannot recommend a ready-made and reliable solution. This article is aimed at studying the issues of adapting solutions. The problem of adaptation of solutions is posed in the work and an algorithmization of adaptation of solutions is proposed. As a result of the study, the task of adaptation is divided into two types: the search for a suitable solution in the chains of action programs in the PD and the assembly (synthesis) of a new solution. In the first case, it is supposed to use some part of the prepared action program as a new solution for the current situation. In the second case, a new solution is assembled element by element from different action programs stored in the PD. Solution adaptation algorithms are presented. The proposed tasks and algorithms make it possible to find a solution in the event of situations that are not described in the case base of the CBR-system and, thus, increase the reliability of its operation.

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Applying Case-Based Reasoning Method for Decision Making in IIoT System

Cited by 4 publications

References 14 publications

Application of case-based reasoning in hazard evaluation in complex process flow control

Application of case-based reasoning in hazard evaluation in complex process flow control

Predictive Analytics for Proactive Maintenance in Industrial IoT Applications

ADAPTATION of SOLUTION OF THE CBR-SYSTEM IN THE APPEARANCE OF NEW SITUATIONS

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