多尺度一维卷积神经网络的风机基础螺栓松动智能检测

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Abstract To refine the looseness state featuresof bolts offan foundation and realizelooseness intelligent detection of bolts offan foundation, a multi-scale one-dimensional convolution neural networklooseness intelligent detection methodforbolts of fan foundation is proposed.Firstly, the vibration time-domain signal is used as the input of multi-scale one-dimensional convolution neural network, which can get rid of the dependence on signal processing and professional knowledge, and retain the original signal features to the greatest extent;Then, the time-domain signal features are learned by alternate multi-scale convolution layer and pooling layer,the multi-scale convolution layer sets convolution kernels of different scales for convolution operation to avoid single-scale convolution kernels ignoring different fineness featuresandincrease the ability to represent features,realizing refined distributed representation of time-domain signal features;Finally,softmax multiple classifiers are added to the end of the feature output layer, the mapping from feature space to loosenessstate space is established by using back propagation to fine tune the structure parameters layer by layer, and looseness detection results for bolts of fan foundationare output.The proposed method integrates the automatic learning of loosenessfeatures with the recognition of looseness, and realize looseness intelligent detection for bolts of fan foundation.The feasibility and effectiveness of the proposed method are proved by looseness detection experiment for bolts offan foundation under the condition of stable speed and variable speed.
Key words:bolts offan foundation;looseness state;intelligent detection; multi-scale one-dimensional convolutional neural network; refined representation

Key words： bolts offan foundation;looseness state;intelligent detection multi-scale one-dimensional convolutional neural network refined representation

Received: 25 December 2019 Published: 28 November 2022

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	Articles by authors
	CHEN Renxiang1
	XU Peiwen1
	HANG Kunlin2
	ZENG Li1
	WANG Shuai1
	ZHU Yuqing1

Cite this article:

CHEN Renxiang1,XU Peiwen1,HANG Kunlin2, et al. Intelligent looseness detection for bolts of a fan foundation based on a multi-scale one-dimensional convolutional neural network[J]. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(22): 301-307.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2022/V41/I22/301

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