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Training method of fault detection model and fault detection method of electromechanical equipment

A technology of fault detection and detection model, which is applied in the computer field and can solve the problems of low accuracy

Active Publication Date: 2022-07-26
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Based on this, it is necessary to provide a fault detection model training method and a fault detection method for electromechanical equipment in view of the low accuracy of traditional technology in fault identification.

Method used

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  • Training method of fault detection model and fault detection method of electromechanical equipment
  • Training method of fault detection model and fault detection method of electromechanical equipment
  • Training method of fault detection model and fault detection method of electromechanical equipment

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Embodiment Construction

[0062] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0063] The training method of the fault detection model provided in this application can be applied to such as figure 1 computer equipment shown. The computer device includes a processor and a memory connected through a system bus, where a computer program is stored in the memory, and the processor can execute the steps of the following method embodiments when the processor executes the computer program. Optionally, the computer equipment may further include a network interface, a display screen and an input device. Among them, the processor of the computer device is...

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Abstract

The present application relates to a training method for a fault detection model and a fault detection method for electromechanical equipment. The training method of the fault detection model includes: acquiring training signal data; performing feature extraction on the training signal data to obtain a first signal feature; reconstructing and decomposing the training signal data to obtain a second signal feature; The second signal features are arranged in a preset order, and the arrangement result is input into the initial fault detection model to obtain the detection result; the preset order represents the importance of the first signal feature and the second signal feature; the detection result and the preset label are calculated The initial fault detection model is trained according to the loss; when the loss reaches convergence, the training of the initial fault detection model is completed, and the fault detection model is obtained. The method can improve the accuracy of the fault detection model obtained by training, thereby improving the accuracy of the obtained detection results.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a training method for a fault detection model and a fault detection method for electromechanical equipment. Background technique [0002] In the industrial field, electromechanical equipment can help people reduce the difficulty of work and improve work efficiency. It is very important to ensure the normal working state of electromechanical equipment. Therefore, effective fault detection of electromechanical equipment can improve the operation safety of electromechanical equipment. Reduce the chance of accidents. When electromechanical equipment is working, it usually generates a series of vibration signals. Analysis based on the vibration signals can determine the fault type of electromechanical equipment. [0003] Analysis of fault types based on vibration signals can be divided into steps such as signal acquisition, feature extraction and fault identification...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/02G01H17/00
CPCG06N3/02G01H17/00G06F2218/08G06F18/2415
Inventor 邓刚梁欣然
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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