The NNES fault diagnosis technique of the naval gun systems
| Autor: | Manliang Cao, Hongxia Pan, Haifeng Ren, Xuefang Chang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Artificial neural network business.industry Mechanical engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Failure rate Mechatronics computer.software_genre Expert system Reliability engineering Mechanical system Electric power system Robustness (computer science) Hydraulic machinery business computer |
| Zdroj: | URAI |
| Popis: | The naval gun weapon systems are the complex and large mechatronic systems which consist of mechanical system, electrical system and hydraulic system and so on. The systems have a wider working range, a worse working environment and a higher failure rate. Whether ship borne gun weapon systems work normally or not, they directly affect the performance indexes of the weapon systems, even do the entire naval war situation. In the paper, a fault diagnosis technology is introduced, which integrates neural network and expert system into a coherent whole. The theoretical analysis and the experimental results of the failure modes have been made. It was drawn a conclusion that NNES fault diagnosis technology could be extended to the integrated systems of the fault diagnosis of the naval gun systems. |
| Databáze: | OpenAIRE |
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