Model of Intelligent Maintenance Systems

Gregor, Milan; Haluska, Michal; Fusko, Miroslav; Grznár, Patrik

doi:10.2507/26th.daaam.proceedings.154

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…Therefore, digital twin is an important way to achieve equipment health status monitoring and provides a new paradigm for equipment fault diagnosis. For example, Gregor et al [157] described the design ideas for an integrated reconfigurable maintenance system. Xu et al [113] proposed a two-stage digital twinassisted fault diagnosis method based on deep migration learning to achieve fault diagnosis in the operation phase and maintenance phase, as shown in Figure 10.…”

Section: The Significancementioning

confidence: 99%

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

Zhu

et al. 2022

Chin. J. Mech. Eng.

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Traditional design, manufacturing and maintenance are run and managed independently under their own rules and regulations in an increasingly time-and-cost ineffective manner. A unified platform for efficient and intelligent design-manufacturing-maintenance of mechanical equipment and systems is highly needed in this rapidly digitized world. In this work, the definition of digital twin and its research progress and associated challenges in the design, manufacturing and maintenance of engineering components and equipment were thoroughly reviewed. It is indicated that digital twin concept and associated technology provide a feasible solution for the integration of design-manufacturing-maintenance as it has behaved in the entire lifecycle of products. For this aim, a framework for information-physical combination, in which a more accurate design, a defect-free manufacturing, a more intelligent maintenance, and a more advanced sensing technology, is prospected.

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Section: The Significancementioning

confidence: 99%

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

Zhu

et al. 2022

Chin. J. Mech. Eng.

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“…This is due to the reduction of time for the development of products also as placing it on the market (Time to Market). On the other hand, it is changed in new technologies and materials, which are designed to press on innovation, what is reflecting is constantly effort to configure the product base [7]. In the global market, the time and time placed on the market is an important competitive advantage.…”

Section: New Manufacturing Approachesmentioning

confidence: 99%

Manufacturing paradigms and their change in time

Mozol¹,

Grznár²,

Oravec³

2020

Průmyslové Inženýrství 2020: Mezinárodní Studentská Vědecká Konference: Sborník Příspěvků

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Manufacturing companies are constantly confronted by changes in customer behaviour, which affects their product strategy. The product strategy of the enterprise or the manufacturing paradigm represents how the company approach to producingproductsin terms of its quantity and variants. Various changes over time also led to a change in the productionparadigm of enterprises, it also influencedthe development of manufacturingapproaches by which the paradigm isimplemented. The article describes the different manufacturingparadigms their changeover time,and whichmanufacturingapproaches will be deployed within the paradigms.

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“…6) shows failures rate that we can express on preventive maintenance of individual components. We see that it is not appropriate to define a planned preventive maintenance system in the case of the graphical course of the failure rate of the electrical equipment and brake because the increase of the fault intensity value is almost constant in the case of the trolley and compressor elements and it is advisable to consider planned preventive maintenance [13,14].…”

Section: Fig 6 Graph Of Failures Ratementioning

confidence: 99%

Model calculations of posterior reliability indicators for the proposal of the maintenance system

et al. 2018

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Designing the content and scale of maintenance of machines and equipment by a priori and posterior reliability methods in considered crucial to reducing the cost of the machine's life cycle, maintaining high operational readiness and reducing the consequences of failures. In the presented paper, attention is paid to the analysis of the calculation methods of posterior reliability for calculation indicators of reliability and to the use of the specified Weibull model for reliability calculations. The obtained results are further developed for models of optimal process calculations to perform scheduled maintenance interventions. Calculations of the other RAMS (reliability, availability, maintainability and safety) indicators that are critical to the design of an optimal engineering design with regard to maintenance and which do not receive sufficient attention in technical practice are also assessed.

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Model of Intelligent Maintenance Systems

Cited by 11 publications

References 10 publications

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

Manufacturing paradigms and their change in time

Model calculations of posterior reliability indicators for the proposal of the maintenance system

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