Research on thermal characteristics diagnosis method of aviation hydraulic pump

The safety and reliability of hydraulic systems are critical to the overall flight safety of aircraft. Fault diagnosis technology for hydraulic pumps plays a vital role in ensuring their operational safety. Traditionally, the maintenance of aviation hydraulic pumps has relied on hydraulic oil testing and temperature monitoring. However, these methods often suffer from poor diagnostic accuracy and a lack of timeliness. This study introduces an infrared technology diagnostic approach to detect fault characteristics in aviation hydraulic pumps. By utilizing the thermal characteristics of aviation hydraulic pumps for infrared diagnosis, this method collects temperature field data to establish status labels and incorporates neural networks to facilitate intelligent diagnosis. The study utilizes infrared data from the casing of a hydraulic pump belonging to a specific airline to construct and validate an intelligent diagnosis model through case studies. The findings indicate that this method achieves a diagnostic accuracy of up to 95%, providing valuable insights for enhancing existing diagnostic strategies and offering technical support and a theoretical foundation for improving the reliability of hydraulic pumps and ensuring flight safety.