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A Method for Identifying Friction Faults Between Dynamic and Static Components Based on CNN Acoustic Emission

A dynamic and static, acoustic emission technology, applied in the field of friction fault identification between dynamic and static components based on CNN acoustic emission, can solve the problems of poor identification effect, low friction fault identification rate, etc., to achieve good identification rate, reasonable steps, and good performance. Effect

Active Publication Date: 2018-04-03
HUZHOU TEACHERS COLLEGE
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art and provide a method for identifying friction faults between dynamic and static components based on CNN acoustic emission, which aims to solve the problem of low recognition rate and poor recognition effect of friction faults in rotating machinery in the prior art technical issues

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  • A Method for Identifying Friction Faults Between Dynamic and Static Components Based on CNN Acoustic Emission
  • A Method for Identifying Friction Faults Between Dynamic and Static Components Based on CNN Acoustic Emission
  • A Method for Identifying Friction Faults Between Dynamic and Static Components Based on CNN Acoustic Emission

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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through the accompanying drawings and embodiments. However, it should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0030] refer to figure 1 , the embodiment of the present invention provides a method for identifying frictional faults between dynamic and static components based on CNN acoustic emission, which is based on a feed-forward CNN network, the feed-forward CNN network is based on multi-layer induction with basic Logistic mapping neurons, The feed-forward CNN network includes two parts, a front hidden layer ...

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Abstract

The present invention is applicable to the technical field of friction fault detection, and discloses a method for identifying friction faults between dynamic and static components based on CNN acoustic emission, which is based on a feed-forward CNN network, and the feed-forward CNN network is based on a basic Logistic mapping Multi-layer sensing of neurons, the feed-forward CNN network includes two parts, a front hidden layer and a back hidden layer, the front hidden layer is composed of neurons F and neurons B in pairs, and neurons F receive weighted weights from the previous layer And output, neuron B receives output from itself, and the hidden layer is composed of neuron H to receive corresponding neuron F and neuron B, and output in the form of final hidden output through weighting function. The present invention is a method for identifying frictional faults between dynamic and static components based on CNN acoustic emission. The steps are simple, and can effectively avoid the local minimum value problem caused by it. Compared with the traditional BP neural network model, it can achieve better performance. It needs to be combined with similar theories and Fewer nodes in the same layer and shorter time improves the recognition rate.

Description

【Technical field】 [0001] The invention relates to the technical field of friction fault detection, in particular to a method for identifying friction faults between dynamic and static components based on CNN acoustic emission, which improves the detection efficiency of friction faults caused by dynamic and static components of large rotating machinery in the manufacturing process. 【Background technique】 [0002] Dynamic and static friction is a frequent failure of rotating machinery. When a friction failure occurs, force shock and thermal shock will occur on the rotor at the same time. In order to reduce steam (gas) leakage, the dynamic and static clearance of large rotating machinery is usually designed to be very small. Friction failures not only occur during the start and stop of the unit, but also dynamic and static friction may occur due to slight carelessness during installation, maintenance and operation. After the friction fault occurs, the vibration of the unit may ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08
Inventor 蒋云良成新民申情
Owner HUZHOU TEACHERS COLLEGE
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