Making Health Management More Concise and Efficient: Aircraft Condition Monitoring Based on Compressed Sensing

With the development of aircraft, the amount of monitoring data becomes larger and larger, and the transmission channel bandwidth limitation and the onboard computational capability limitation become challenges for aircraft condition monitoring system. In this study, from the view point of aircraft condition monitoring, a remote fault diagnosis scheme based on compressed sensing is proposed, the monitoring data are compressed on-board after acquisition, and the compressed data can be either used for on-board diagnosis directly, or transmitted to the ground for data reconstruction, and later used for enhanced diagnosis or preventive maintenance. From the view point of compressed sensing, a bi-step compression method is presented, considering the requirements and characteristics of aircraft condition monitoring. The effectiveness of the proposed method is demonstrated with a hydraulic plunger pump, and the results indicate that the monitoring data is well recovered from the compressed data, and the accuracy of fault diagnosis is satisfactory.