In this paper, the surface morphology of micro-hole produced in magnesium alloy AZ91D was investigated. the micro-hole was fabricated through a nanopowder mixed micro-electric discharge drilling (PM-μEDD) process. th...
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Bridge arm reactors are subjected to composite current of AC and DC in operation, having both AC current distribution characteristics based on inductance distribution and DC current distribution characteristics based ...
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the proportion of high-rise residential buildings in China is gradually increasing, and withthe implementation of the national new green building evaluation standards and the continuous strengthening of energy conser...
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the detecting data from the space contamination effect detector onboard "XY-1" satellite is analyzed in this article. Summaries are made via analyzing the detecting data of the space contamination effect det...
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In space terahertz communication missions, aircraft are subject to various factors such as platform disturbances and background noise, which can cause angular micro vibrations and result in non-zero antenna pointing e...
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the cracking of the conductor spacer bar in a ±800 kV converter station was detected and simulated to study the cause of failure. By means of penetration detection, fracture macroscopic inspection and metallograp...
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the safety evaluation of mine ventilation system is a process with strong comprehensiveness and a great deal of information uncertainty. It is more reliable to use GA-optimized BP neural network algorithm to construct...
the safety evaluation of mine ventilation system is a process with strong comprehensiveness and a great deal of information uncertainty. It is more reliable to use GA-optimized BP neural network algorithm to construct the mathematical model of mine ventilation system safety evaluation. the simulation experiment and data analysis show that the BP neural network algorithm based on GA optimization can effectively evaluate the mine ventilation system and obtain the optimal ventilation rate, so as to maintain survival, safety, economic energy-saving purposes.
Industry 4.0 information systems support production stakeholders in configuring and debugging increasingly flexible Cyber-Physical Production systems (CPPSs), such as automated car plants. A Failure Mode and Effects A...
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ISBN:
(纸本)9783031610561;9783031610578
Industry 4.0 information systems support production stakeholders in configuring and debugging increasingly flexible Cyber-Physical Production systems (CPPSs), such as automated car plants. A Failure Mode and Effects analysis (FMEA) aims at mitigating production risks by analyzing the main causes of risks in production, such as defective products. However, a FMEA provides limited guidance on (i) validating risk knowledge and (ii) reducing risk knowledge complexity regarding CPPS engineering artifacts. this paper introduces the Multi-aspect FMEA Configuration Management (MFCM) approach (i) to design and validate a multi-aspect CPPS risk knowledge graph and (ii) to focus on required graph parts, adapting conditioned backward program slicing. this small graph serves as a foundation for answering stakeholder questions on production risks and causes with data from validated sources. We evaluated MFCM in a feasibility study on a real-world welding line. Results indicate that MFCM is effective for production process slicing of multi-aspect risk knowledge required to analyze a production condition.
A key component of flight safety in commercial aviation is the cockpit crew alert system. However, due to the increasing integration and complexity of modern civil aircraft systems, a single failure can quickly propag...
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ISBN:
(纸本)9783031619311;9783031619328
A key component of flight safety in commercial aviation is the cockpit crew alert system. However, due to the increasing integration and complexity of modern civil aircraft systems, a single failure can quickly propagate to other systems, while each affected system also generates different types of alert information. Faced with multiple alerts generated by this cascading effect of failures, it's difficult for pilots to accurately and quickly identify the source of the failure and select effective means of addressing it, which can lead to delays in addressing failures and affect flight safety. therefore, it is becoming more and more urgent to accurately identify the direct effects of the alerts. Traditional methods are often limited to reviewing specific areas or documents, making it difficult to view the system as a whole. Model-Based systemsengineering (MBSE) provides a comprehensive framework for modeling, analyzing, and managing systemsthroughout their lifecycle. this research examines the modeling of alerts in the context of Model-Based systemsengineering (MBSE) using suitable modeling languages. the focus on the individual components of the alert system, but also the in-depth consideration of the relationships between these components within the overall system and their dynamic behavior in different system states, is the unique strength of this method. Important modeling details, such as alert triggering conditions, the association between system states and alerts, system architecture, and failure mode analysis, are emphasized by embedding alerts in the overall system engineering model. this research effectively demonstrates the practicality and effectiveness of the modeling approach in real-world applications through a detailed analysis of practical model cases. the study provides robust theoretical and empirical support for enhancing system security. By integrating the alert system into the overall engineering model, this approach promotes a comprehensive
the fuel efficiency index has an important place for the transport category aircraft competitiveness evaluation. the approaches for the fuel efficiency evaluation of the existing aircraft is well known and now applied...
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