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Fault prediction method and device, computer equipment and storage medium

A fault prediction and fault detection technology, which is applied to computer parts, prediction, calculation, etc., can solve problems such as serious faults, increased maintenance costs of medical equipment, and affecting the normal use of medical equipment, so as to increase speed, improve timeliness, The effect of simplifying the process of failure prediction

Inactive Publication Date: 2021-08-20
WUHAN UNITED IMAGING HEALTHCARE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] At present, medical equipment failures occur frequently. Due to the complex structure of medical equipment, there are many types of failures, and the failures are gradually revealed along with the aging of electronic components of the equipment. The normal use of medical equipment will also increase the maintenance cost of medical equipment, so it is of great significance for the failure prediction of medical equipment

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  • Fault prediction method and device, computer equipment and storage medium
  • Fault prediction method and device, computer equipment and storage medium
  • Fault prediction method and device, computer equipment and storage medium

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Embodiment Construction

[0057] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0058] The fault prediction method provided by this application can be applied to such as figure 1shown in the application environment. Wherein, the device to be detected 102 communicates with the server 104 through the network, the server 104 communicates with the terminal 106 through the network, and the device 102 to be detected communicates with the terminal 106 through the network. The device to be detected 102 collects relevant operating data on its own device through the sensor, and sends the collected operating data to the server 104. After the server 104 obtains ...

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Abstract

The invention relates to a fault prediction method and device, computer equipment and a storage medium. According to the method, operation data and a fault prediction network of to-be-detected equipment are obtained, and the operation data and the fault prediction network are input into a preset accelerated reasoning network for optimization and fault prediction of the fault prediction network, so that a prediction result is obtained. In the above method, because the accelerated reasoning network realizes optimization of the fault prediction network in the process of performing fault prediction on the to-be-detected equipment, the network structure of the fault prediction network is simplified, and then the flow of performing fault prediction based on the optimized fault prediction network in the later period is simplified, so that the fault prediction speed is improved, and the effect of improving the timeliness of fault prediction can be achieved.

Description

technical field [0001] The present application relates to the technical field of medical equipment, in particular to a fault prediction method, device, computer equipment and storage medium. Background technique [0002] At present, medical equipment failures occur frequently. Due to the complex structure of medical equipment, there are many types of failures, and the failures are gradually revealed along with the aging of electronic components of the equipment. The normal use of medical equipment will also increase the maintenance cost of medical equipment, so it is of great significance for the failure prediction of medical equipment. [0003] In recent years, most of the fault prediction and health management technologies of domestic medical equipment are based on signal processing methods or predictions based on machine learning. In machine learning methods, machine learning models are usually used to diagnose equipment faults. Therefore, How to choose an appropriate al...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/40G06K9/62G06N3/04G06N3/08G06N5/04G06Q10/04
CPCG16H40/40G06Q10/04G06N5/04G06N3/08G06N3/045G06F18/241
Inventor 欧锁阳曲杰周旭
Owner WUHAN UNITED IMAGING HEALTHCARE CO LTD