Gear crack diagnosis method with combination of transmission error differential signal and EEMD algorithm

Abstract

The invention provides a gear crack diagnosis method with combination of a transmission error differential signal and an EEMD algorithm. The method includes steps: firstly, sampling angular displacement signals of a normal gear pair and a crack gear pair; then performing Nam differential on the angular displacement signals to obtain an accumulated transmission error; performing EEMD decompositionon the angular displacement signals of the crack gear pair and the normal gear pair to obtain corresponding single-component signals, and calculating the instantaneous frequencies of the single-component signals through a direct orthogonal method; and finally comparing various single-component signals of the normal gear pair and the crack gear pair, and determining the gear on a transmission shafthas a crack fault if an amplitude spectrum of the instantaneous frequency of a certain single-component signal of the gear pair has a surge at a certain transmission shaft frequency conversion position. According to the method, mode mixing can be avoided, high-frequency signal characteristics can be reflected, and whether the gear has a crack fault can be accurately determined and accurate positioning of the gear with the crack fault can be realized.

Description

technical field [0001] The invention belongs to the technical field of gear crack faults, and in particular relates to a gear crack diagnosis method combining a transmission error differential signal and an EEMD algorithm. Background technique [0002] As an essential general-purpose component for connecting and transmitting power in mechanical equipment, gears are widely used in modern industrial equipment such as metal cutting machine tools, aviation, power systems, agricultural machinery, transportation machinery, and metallurgical machinery. Due to the complex structure and harsh working environment, gears and gearboxes are vulnerable to damage and failure, which directly affects the safe and reliable operation of the equipment and lays a major safety hazard. Therefore, it is very important to obtain the signal reflecting the gear running state through signal acquisition and signal processing. [0003] Ideally, a pair of gears with perfect involutes, infinite rigidity a...

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Problems solved by technology

[0005] If the transmission error signal is not differentially processed, the high-frequency signal characteristics cannot be accurately described; if the instantaneous frequency is calculated using the EMD method, modal aliasing and endpoint effects may occur

In view of the shortcomings of the above prior art, there is no publicly available gear crack fault diagnosis method based on the combination of the transmission error Nam differential signal and the EEMD algorithm.

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