Technical state space of unique mechanical systems

Berman, Alexander; Nikolaichuk, Olha

doi:10.3103/s1052618807010025

Cited by 10 publications

(4 citation statements)

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“… Building models of a subject domain. The model of the dynamics of technical states (Berman & Nikolaichuk, ) that describes the basic concepts in the field of development of degradation processes in petrochemistry is used to deal with the objectives of this stage. This model includes description and relationships of the following basic concepts (Figure ): mechanical stresses (properties: value, cycle, amplitude, etc.…”

Section: Case Study and The Results Of Evaluationmentioning

confidence: 99%

Designing rule‐based expert systems with the aid of the model‐driven development approach

et al. 2018

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The problem of improving the efficiency of designing process of knowledge bases and expert systems remains a relevant issue. The effectiveness of this process can be improved by using the principles of conceptual (cognitive) modelling and generative programming‐based approaches, in particular, a model‐driven development. This paper describes implementation and application of the model‐driven development approach for the design of rule‐based expert systems and knowledge bases. The implementation proposed takes into account peculiarities of the intelligent systems development process, such as stages of conceptualization and formalization, and provides the practical use of ontologies and conceptual models as computation‐independent and subject domain models. An extension of UML, namely, the Rule Visual Modelling Language is used to represent logical rules and create platform‐independent and platform‐specific models. Rule Visual Modelling Language elements ensure that some features of a programming language for knowledge bases, for example, CLIPS, are taken into account. Therefore, CLIPS and the Personal Knowledge Base Designer are used as the targeted platforms for generation of source codes and specifications. The applicability of the approach is demonstrated by a case study: development of the knowledge base and expert system for identification of the causes of damages and destruction of construction materials in petrochemistry.

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Section: Case Study and The Results Of Evaluationmentioning

confidence: 99%

Designing rule‐based expert systems with the aid of the model‐driven development approach

et al. 2018

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“…The main cause of damage and destruction of a construction is degradation processes. The processes of degradation (Berman and Nikolaichuk, 2007) are the objective physical-chemical processes conditioned by both different technological processes and structural, manufacturing and maintaining irregularities which cause damages and destruction of materials and parts, failures of mechanical and petrochemical systems (or apparatus) and emergencies. Each process of degradation is characterized by a mechanism and kinetics.…”

Section: Methodsmentioning

confidence: 99%

“…Building a CIM using a model of the dynamics of technical states (Berman and Nikolaichuk, 2007) by the experts. The main result of this stage is the subject domain concepts and relations.…”

Section: Stagementioning

confidence: 99%

Prototyping Rule-Based Expert Systems with the Aid of Model Transformations

Yurin¹,

Dorodnykh²,

Nikolaychuk³

et al. 2018

Journal of Computer Science

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The problem of improving efficiency of intelligence systems engineering remains a relevant topic of scientific research. One of the trends in this area is the use of the principles of cognitive (visual) modelling and design as well as approaches based on generative programming and model transformations. This paper aims to describe the implementation and application of model transformations for prototyping rule-based knowledge bases and expert systems. The implementation proposed uses the main principles of the Model Driven Architecture (MDA) (e.g., model types and creation stages) and considers the features of developing intelligent systems. Therefore, the current research employs the following tools: Ontologies for the representation of the computation-independent model; the author's original notation, namely, the Rule Visual Modelling Language (RVML) to create the platform-independent and platform-specific models; the C Language Integrated Production System (CLIPS) and the Drools Rule Language (DRL) as the programming languages (as the platforms). The approach proposed targets non-programmers (domain experts and analytics) and makes the design process of rule-based expert systems and knowledge bases more efficient. The paper also presents a detailed description of the main elements of the approach including models, transformations and a specialised software (Personal Knowledge Base Designer).

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“…Contemporary investigations of the reliability and safety of CTSs (which are represented as complex hierarchical systems) imply the integration of expert knowledge and modelling and the application of information technologies. [1][2][3][4][5] For modelling accuracy, it is possible to use the data and knowledge that describe failures and emergencies of such systems with a description of the complete cause-effect complex of their genesis 1,2 in the form of a sequence of technical states. Thus, each subsequent state is characterised with an increased danger.…”

Section: Introductionmentioning

confidence: 99%

A methodology for the investigation of the reliability and safety of unique technical systems

Berman

Nikolaychuk

Yurin

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part O:

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A methodology for the modelling and investigation of the safety of complex technical systems is proposed. Complex technical systems are considered to be unique technogenic objects that are designed in one or two instances, implementing extreme technologies, and are subjected to the influence of mechanical, physical and chemical factors. The generalised cause-effect complex and the scenario of violation of the reliability and safety for such systems are formulated. Dynamic models related to the formation of the system states are delineated -from an initial defectiveness of the construction to the damages, destruction, failure, pre-emergency, emergency and possible technogenic catastrophe. A concept of an intelligent program system, which is intended for the computer-aided investigation of reliability and safety, is described. The example for the application of the proposed methodology describes the safety violation of a pipeline under an ammonia synthesis column. The results obtained provide for the efficient and qualitative investigation of revealing hazards and for the delineation of techniques and aids to ensure reliability and safety.

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Technical state space of unique mechanical systems

Cited by 10 publications

References 0 publications

Designing rule‐based expert systems with the aid of the model‐driven development approach

Designing rule‐based expert systems with the aid of the model‐driven development approach

Prototyping Rule-Based Expert Systems with the Aid of Model Transformations

A methodology for the investigation of the reliability and safety of unique technical systems

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