Method for detecting fiber bragg grating acoustic emission of helicopter bearing fault

Abstract

The invention provides a method for detecting fiber bragg grating acoustic emission of a helicopter bearing fault in order to detect an early-time state of the fault of rolling bearings on a helicopter, enhance the capacity for recognizing the fault of the bearings of the helicopter and prolong the service life of the bearings of the helicopter. The detecting method includes the steps of sensor installation, signal sensing and demodulation, wherein the sensor installation includes pasting-installation of a grating sensor (packaged or non-packaged), the single-fiber-bragg-grating sensing method is adopted for the sensing, and the demodulation includes photoelectric conversion, amplification, acquiring, resonance demodulation processing and the like. The method for detecting fiber bragg grating acoustic emission of the helicopter bearing fault is mainly used for detecting the fault of the bearings of the helicopter and faults of bearings of other rotating machines at the home position and on line. Compared with traditional detecting methods (eye observing, vibration, magnetic powder and the like), the method for detecting fiber bragg grating acoustic emission of the helicopter bearing fault can effectively detect the early-time state of the faults and accurately judge the fault type and the fault severity order, and the method has great significance for on-condition maintenance and service life prolonging of the helicopter.

Description

technical field [0001] The invention belongs to the technical field of acoustic emission detection, and in particular relates to a fiber grating acoustic emission detection method for bearing faults such as a support bearing of a helicopter tail drive shaft. Background technique [0002] The tail drive shaft of the helicopter mainly transmits the torque of the main reducer to the tail rotor. It is installed in the tail beam and is a high-speed rotating part, and the support bearing of the tail drive shaft is a key component. At present, most of the original detection methods such as visual inspection and hand-touch temperature judgment or vibration-based detection methods cannot effectively detect faults (especially early faults). Bearing faults (cracks, wear, pitting, peeling, loosening, etc.) have to go through a slow expansion process. This stage is not enough to cause obvious vibration of the bearing, but the acoustic emission signal is more obvious. Therefore, acoustic ...

AI Technical Summary

Problems solved by technology

At present, most of the original detection methods such as visual inspection and hand-touch temperature judgment or vibration-based detection methods cannot effectively detect faults (especially early faults)

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