AFDX network equipment fault diagnosis technology
نویسندگان
چکیده
This paper focuses on the network equipment fault monitoring and diagnosis software, studies of monitored AFDX based algorithm. Firstly, range characteristic parameters are designed to identify type, correlation between detection results at each location can be obtained. Secondly, data storage management scheme first level filtering second caching mechanism is for collected in detection. Then, according classification, methods given respectively, occasional anomalies identified suppressed. Finally, verification module designed, experimental carried out from perspectives real-time concurrency. The prove effectiveness method.
منابع مشابه
Fault Diagnosis of Turbine Unit Equipment Based on Data Fusion and RBF Neural Network
The monitoring of turbine in operation condition and fault diagnosis system in power plant is the key to guarantee the units long-term security and economic operation. The turbine faults were determined by a variety of factors, which brought many difficulties to the fault diagnosis. In general condition, using the RBF neural network can make the turbine fault diagnosis right. However, in some t...
متن کاملSOM Neural Network Fault Diagnosis Method of Polymerization Kettle Equipment Optimized by Improved PSO Algorithm
For meeting the real-time fault diagnosis and the optimization monitoring requirements of the polymerization kettle in the polyvinyl chloride resin (PVC) production process, a fault diagnosis strategy based on the self-organizing map (SOM) neural network is proposed. Firstly, a mapping between the polymerization process data and the fault pattern is established by analyzing the production techn...
متن کاملFault Diagnosis of Coal Mine Equipment Based on Improved GA Optimized BP Neural Network
In the face of more and more faults in coal mine equipment, this paper presents the method of combining genetic algorithm (GA) and BP neural network to predict the failure. According to genetic algorithm has a very slow convergence speed, easy to fall into local optimum, this paper uses chaos and reverse individual learning initialization, followed by the use of differential algorithm to operat...
متن کاملUsing Network Calculus to optimize the AFDX network
This paper presents quantitative results we obtained when optimizing the setting of priorities of the AFDX traffic flows, with the objective to obtain tighter latency and queue-size deterministic bounds (those bounds are calculated by our Network Calculus tool). We first point out the fact that setting randomly the priorities gives worse bounds than using no priorities, and we then show experim...
متن کاملNetwork fault diagnosis: a model based approach
Most of the diagnostic systems for computer network faults discussed in the literature or available as part of network management platforms are experience-based systems. Such systems, in some way capture the experience of detecting a fault on a particular computer network. A subproblem of fault diagnosis, the alarm correlation problem, that is, the filtering out irrelevant, or explained, or spu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Xibei gongye daxue xuebao
سال: 2023
ISSN: ['1000-2758', '2609-7125']
DOI: https://doi.org/10.1051/jnwpu/20234130546