scholarly journals Reliability Analysis of C4ISR Systems Based on Goal-Oriented Methodology

2021 ◽  
Vol 11 (14) ◽  
pp. 6335
Author(s):  
Yifan Li ◽  
Hong-Zhong Huang ◽  
Tingyu Zhang
Keyword(s):  
Reliability Analysis ◽  
Integrated Systems ◽  
Component Level ◽  
Software Failures ◽  
Go Model ◽  
Communication Module ◽  
Common Cause Failures ◽  
Importance Analysis ◽  
Hardware Failures ◽  
C4isr System

Hard-and-software integrated systems such as command and control systems (C4ISR systems) are typical systems that are comprised of both software and hardware, the failures of such devices result from complicated common cause failures and common (or shared) signals that make classical reliability analysis methods will be not applicable. To this end, this paper applies the Goal-Oriented (GO) methodology to detailed analyze the reliability of a C4ISR system. The reliability as well as the failure probability of the C4ISR system, are reached based on the GO model constructed. At the component level, the reliability of units of the C4ISR system is computed. Importance analysis of failures of such a system is completed by the qualitative analysis capability of the GO model, by which critical failures of hardware failures like communication module failures and motherboard module failures as well as software failures like network module application software failures and decompression module software failures are ascertained. This method of this paper contributes to the reliability analysis of all hard-and-software integrated systems.

scholarly journals Reliability Analysis and Repair Activity for the Components of 350 kW Inverters in a Large Scale Grid-Connected Photovoltaic System

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 564
Author(s):  
Filippo Spertino ◽  
Angela Amato ◽  
Gabriele Casali ◽  
Alessandro Ciocia ◽  
Gabriele Malgaroli
Keyword(s):  
Reliability Analysis ◽  
Large Scale ◽  
Photovoltaic System ◽  
Component Level ◽  
Ac Power ◽  
Repair Activity ◽  
Industrial Maintenance ◽  
Large Scale Grid ◽  
Ac Converters ◽  
Scale Grid

The reliability of photovoltaic (PV) generators is strongly affected by the performance of Direct Current/Alternating Current (DC/AC) converters, being the major source of PV underperformance. However, generally, their reliability is not investigated at component level: thus, the present work presents a reliability analysis and the repair activity for the components of full bridge DC/AC converters. In the first part of the paper, a reliability analysis using failure rates from literature is carried out for 132 inverters (AC rated power of 350 kW each) with global AC power of 46 MW in a large scale grid-connected PV plant. Then, in the second part of the work, results from literature are compared with data obtained by analyzing industrial maintenance reports in the years 2015–2017. In conclusion, the yearly energy losses involved in the downtime are quantified, as well as their availability.

Reliability and importance analysis of uncertain system with common cause failures based on survival signature

2020 ◽  
Vol 201 ◽  
pp. 106988 ◽  
Author(s):  
Jinhua Mi ◽  
Michael Beer ◽  
Yan-Feng Li ◽  
Matteo Broggi ◽  
Yuhua Cheng
Keyword(s):  
Uncertain System ◽  
Common Cause ◽  
Common Cause Failures ◽  
Importance Analysis

A simplified reliability analysis method for cloud computing systems considering common-cause failures

2017 ◽  
Vol 231 (3) ◽  
pp. 324-333 ◽  
Author(s):  
Ruiying Li ◽  
Qiong Li ◽  
Ning Huang ◽  
Rui Kang
Keyword(s):  
Cloud Computing ◽  
State Space ◽  
Reliability Analysis ◽  
Virtual Machines ◽  
Single Server ◽  
Analysis Method ◽  
Computing Systems ◽  
Common Cause ◽  
Cloud Computing System ◽  
Common Cause Failures

Virtualization is one of the main features of cloud computing systems, which enables building multiple virtual machines on a single server. However, this feature brings new challenge in reliability modeling, as the failure of the server will make all its co-located virtual machines inoperable, which is a typical common-cause failure. To satisfy the demand of the cloud computing system, the reliability of the system is defined as the probability that at least a given number of virtual machines are operable. State-space enumeration is one method to calculate such reliability; however, due to the large number of combinations, it is time-consuming and impractical. To solve this problem, we propose a simplified reliability analysis method based on fault tree and state-space models. Two illustrative examples are studied to show the process and the effectiveness of our method. State enumeration and Monte Carlo simulation are also used to prove the correctness of our method as back-to-back verifications. Compared to the reliability analysis without considering common-cause failures, our results are quite different, which illustrates the necessity of considering common-cause failures in the reliability of cloud computing systems.

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