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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.