Fault diagnosis method for high-speed heavy-duty input stage under unbalanced samples

Abstract

The invention discloses a fault diagnosis method for a high-speed heavy-load input stage under an unbalanced sample. The specific steps are: use different simulated fault modes of a low-speed gearbox experimental platform to monitor vibration signals, obtain low-speed fault spectrum data, and obtain different fault modes through spectrum shifting. The fault spectrum data of the high-speed gearbox experimental platform; the fault spectrum data of the high-speed gearbox experimental platform is migrated to the fault mode of the helicopter input stage gearbox, and the fault spectrum data of the input stage of different fault modes are obtained; the fault spectrum data of the input stage obtained by two migrations and the normal In the mode, the actual running state monitors the vibration signal spectrum data, pre-trains the deep stack denoising autoencoder SDAE, and fine-tunes the SDAE with a small number of fault data samples at the input level during actual operation. The trained SDAE is used for automatic feature extraction and fault classification of high-speed heavy-duty input stage vibration signals. The invention solves the fault diagnosis problem of the helicopter's high-speed and heavy-load input stage under the condition of unbalanced samples.

Description

technical field [0001] The invention relates to a high-speed heavy-duty input stage fault diagnosis method, which belongs to the field of equipment fault and signal processing. Background technique [0002] Helicopter health and usage monitoring system (Health and Usage Monitoring System, HUMS) is a complex system integrating avionics equipment, ground support equipment and airborne computer monitoring and diagnosis products. System security is of great significance. In addition, from the perspective of the development of helicopter maintenance technology at home and abroad, the maintenance system of military and civilian helicopters is developing from regular maintenance and preventive maintenance to condition-based maintenance, and fault diagnosis and prediction technology is the technical basis for realizing condition-based maintenance. It plays an important role in reducing the maintenance and repair cost of the helicopter transmission system and improving the maintenan...

AI Technical Summary

Problems solved by technology

[0005] Due to the high price of the helicopter transmission system, it is generally impossible to carry out ground fault simulation tests at the high-speed and heavy-load input stage, and it is also difficult for the ground test platform to completely simulate the helicopter's air flight conditions and environmental conditions

Considering the safety of helicopter flight, it is not allowed to carry out the input stage failure simulation test during the flight of the helicopter

However, in the actual operation of the existing new helicopter transmission system, failures rarely occur, resulting in the current situation that there are many normal mode sample data of the high-speed and heavy-duty input stage, and few or even lack of different failure mode sample data.

Images