Improved attention mechanism for intelligent fault diagnosis of experimental rotor systems in aero engines

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (4) : 261-269.

WU Jigang, WEN Gang, YANG Kang

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Abstract

Considering the harsh working environment of aero-engine, the hidden characteristics of the vibration signal of the fault and the serious noise interference, in order to strengthen the extraction ability of the network to the key features in the vibration signal, an intelligent fault diagnosis method for aero-engine rotor system with improved attention mechanism is proposed to diagnose the faults of aero-engine rotor system such as unbalance and friction. The proposed improved channel attention mechanism with partial pooling can solve the problem of insufficient information extraction capability of the existing channel attention mechanism for aero-engine rotor fault channels by pre-extracting local extreme values; the improved spatial attention mechanism with multiple scoring mechanism is proposed, which can solve the problem that the existing channel attention mechanism has insufficient ability to extract spatial information about aero-engine rotor faults by convolution scoring of different scales, The above methods are combined to build an improved attention mechanism module in channel space, and then imported into a 1D convolutional neural network to build a 1D convolutional neural network with improved attention mechanism to complete intelligent fault diagnosis, and the comprehensive performance of the network such as excellent detection performance, noise immunity and generalization performance as well as the feasibility of the attention mechanism improvement method are demonstrated by the comparative analysis of the aero-engine rotor system fault dataset.

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Aeroengine rotor / fault diagnosis / attention mechanism / convolutional neural network

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WU Jigang, WEN Gang, YANG Kang. Improved attention mechanism for intelligent fault diagnosis of experimental rotor systems in aero engines[J]. Journal of Vibration and Shock, 2024, 43(4): 261-269

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