Reliability and performance analysis of safety-critical system using transformation of UML into state space models

Mamdikar, Mohan Rao; Kumar, Vinay; Singh, Pooja; Singh, Lalit Kumar

doi:10.1016/j.anucene.2020.107628

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…UML separates and isolates the entire interface operation function of the system as a whole, and reduces the degree of interaction and coupling, which is important for the subsequent maintenance and expansion work. It is of great help to the design scheme and technical development of the entire research and development process of Web applications [20].…”

Section: Advantages Of Uml and Its Application In Is Systemmentioning

confidence: 99%

Design and Implementation of Music Teaching System Based on J2EE

Zhu

Liang²

2022

Scientific Programming

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In order to improve the quality and management efficiency of music education, research on the music education system based on J2EE is carried out. The music education system adopts J2EE technology, UML modeling technology, SQL Server 2012 database, Web programming technology, MVC mode, etc., which can effectively guarantee the operation performance and security performance of the system in the later application. By analyzing the background, current situation, and demand for the music education system, the design and implementation of the music education system based on J2EE are proposed, the overall realization of system management functions, music teaching management functions, music course management functions, and other functions.

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Section: Advantages Of Uml and Its Application In Is Systemmentioning

confidence: 99%

Design and Implementation of Music Teaching System Based on J2EE

Zhu

Liang²

2022

Scientific Programming

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“…Gouyon et al [3] presented the validation of critical industrial process architectures from the point of view of safety and operation. Mamdikar et al [4] developed a reliability analysis framework, which maps the Unified Modeling Language (UML) state chart model into the state-space model to analyze dynamic behavior and state transition probabilities of safety-critical systems. Grabbe et al [5] advocated the use of FRAM as a risk assessment method in the development process of highly-automated vehicles, primarily to derive system design recommendations and secondly to provide essential insights into reducing the validation work.…”

Section: Related Workmentioning

confidence: 99%

Developing Reliable Digital Healthcare Service Using Semi-Quantitative Functional Resonance Analysis

Zhou¹,

Matsubara²,

Takada³

2023

Computer Systems Science and Engineering

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Since entering the era of Industry 4.0, the concept of Healthcare 4.0 has also been put forward and explored by researchers. How to use Information Technology (IT) to better serve people's healthcare is one of the most featured emerging directions in the academic circle. An important field of Healthcare 4.0 research is the reliability engineering of healthcare service. Because healthcare systems often affect the health and even life of their users, developers must be very cautious in the design, development, and operation of these healthcare systems and services. The problems to be solved include the reliability of business process, system functions, and personal healthcare data. The Functional Resonance Analysis Method (FRAM) has been applied in reliability engineering for safety-critical systems in available studies, using both qualitative and quantitative approaches. However, the method has not been applied in the field of digital healthcare services development. Therefore, to narrow the gap, we present in this paper a semi-quantitative functional resonance analysis method to develop reliable healthcare services for diabetics. Moreover, this paper has tried to improve the reliability design of the service-oriented architecture (SOA) of traditional insulin pump therapy by system thinking.

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“…Hu and Peng [16] developed a dynamic reliability model with random and dependent transition probabilities for a non-repairable discrete-time multi-state system. Mamdikar et al [17] devised a reliability analysis framework validated with 32 safetycritical system instances of the NPP. Wakankar et al [18] proposed an architecture model to quantitatively evaluate the reliability of the large reactor safety system.…”

Section: Relevant Workmentioning

confidence: 99%

Data-Driven Maintenance Priority and Resilience Evaluation of Performance Loss in a Main Coolant System

Dui

Chen

et al. 2022

Mathematics

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The main coolant system (MCS) plays a vital role in the stability and reliability of a nuclear power plant. However, human errors and natural disasters may cause some reactor coolant system components to fail, resulting in severe consequences such as nuclear leakage. Therefore, it is crucial to perform a resilience analysis of the MCS, to effectively reduce and prevent losses. In this paper, a resilience importance measure (RIM) for performance loss is proposed to evaluate the performance of the MCS. Specifically, a loss importance measure (LIM) is first proposed to indicate the component maintenance priority of the MCS under different failure conditions. Based on the LIM, RIMs for single component failure and multiple component failures were developed to measure the recovery efficiency of the system performance. Finally, a case study was conducted to demonstrate the proposed resilience measure for system reliability. Results provide a valuable reference for increasing the system security of the MCS and choosing the appropriate total maintenance cost.

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Reliability and performance analysis of safety-critical system using transformation of UML into state space models

Cited by 10 publications

References 14 publications

Design and Implementation of Music Teaching System Based on J2EE

Design and Implementation of Music Teaching System Based on J2EE

Developing Reliable Digital Healthcare Service Using Semi-Quantitative Functional Resonance Analysis

Data-Driven Maintenance Priority and Resilience Evaluation of Performance Loss in a Main Coolant System

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