大型暂冲式风洞自主式维修保障系统研究

Research on Autonomous Maintenance Support System in Large-scale Intermittent Wind tunnel

摘要:

2.4米×2.4米暂冲式风洞长期面临着繁重的试验任务，部分设备经常处于超负荷运行状态，故障频次、维修负担也逐年加重。为了解决风洞试修矛盾，提升风洞试验能力，本文基于故障预测与健康管理技术，针对2.4米×2.4米暂冲式风洞的运行和保障需求，结合风洞装备管理业务流程，从数据采集、数据存储、数据分析、数据应用这四个工作流程出发设计了系统软硬件架构，最终搭建了大型暂冲式风洞自主式维修保障系统。实现对故障的实时监测、诊断、预测。经过系统运行实践证明，风洞设备的故障率显著降低，试验能力和效率提升明显，初步建立了风洞的视情维修保障体系。

Abstract:

Due to the long-term heavy experiment task of the 2.4m×2.4m intermittent wind tunnel, some equipment sustains an overload operation state. Therefore, it causes the failure frequency and maintenance burden increases year by year. In order to solve the conflict between experiments and maintenance, this paper based on failure prognostic, health management technologies; combined with wind tunnel maintenance requirements and equipment management business process; designed the software and hardware system architecture by following the workflow in terms of data acquisition, data storage, data analysis and data application; established the autonomous maintenance support system for large-scale intermittent wind tunnel. It developed real-time fault monitoring, diagnosis and prognostic ability for wind tunnel. The practice has shown that the failure rate has significantly reduced and the testing capability has improved remarkably of wind tunnel. As a result, a condition-based maintenance and support system is initially established for wind tunnel.