Fault prediction method and system

A fault prediction and fault factor technology, which is applied in the direction of prediction, kernel method, neural learning method, etc., to achieve the effect of easy processing and reducing data complexity

Pending Publication Date: 2021-02-05
SHENZHEN KANGBIDA CONTROL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, in order to solve the above problems, the tra

Method used

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  • Fault prediction method and system

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Embodiment Construction

[0061] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0062] see figure 1 , figure 1 It is a flowchart of a fault prediction method in an embodiment of the present invention. The present invention provides a fault prediction method, which is applied to a target object, and the target object is equipped with at least one key component, and the method includes the following steps:

[0063] Step S100, obtaining the criticality weight of the key component; wherein, the criticality weight of the key component is used to determine the degree of influence of the key component on the target object;

[0064] Step S200, acquiring the failure factor of the target object; wherein, the key component corresponds to at least one failure factor of the target object;

[0065] Step S300, according to the fail...

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Abstract

The invention provides a fault prediction method and system applied to a target object, and the method comprises the following steps: obtaining the criticality weight of a key part and the fault factor of the target object; comparing the real-time information of the key component with a corresponding preset threshold value according to the fault factor, and determining the current state of the keycomponent; and determining the current state of the target object by applying the criticality weight of the key component and the current state of the key component, and predicting the possibility offailure of the target object. The criticality weights of the key components are determined, so that the data complexity can be reduced, and processing is facilitated; a fault factor of the target object is determined to analyze the likelihood of a fault occurring. And by applying the fault factor, the current state of the target object can be estimated so as to predict the possibility that the target object may encounter the fault.

Description

technical field [0001] The invention relates to fault prediction technology, in particular to a fault prediction method and system. Background technique [0002] The power supply system needs to be transported and installed in place to adapt to the site, and it also needs to ensure its flexibility in the process of operation and maintenance. [0003] In this process, it is necessary to control the usage status of the equipment. Based on this, some enterprises have proposed the concept of equipment life cycle management from the perspective of application. [0004] However, in order to solve the above problems, the conventional method is to hire professional maintenance personnel. The number of comprehensive and high-level maintenance personnel is very small, and the technical level of most maintenance personnel is not good enough. Contents of the invention [0005] The technical problem to be solved by the present invention is to provide a failure prediction method and ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/00G06N3/08G06N5/00G06N20/10
CPCG06Q10/04G06Q10/20G06N3/08G06N3/084G06N20/10G06N5/01
Inventor 张孝山周正龙刘正方施建权桂烜胡显铭
Owner SHENZHEN KANGBIDA CONTROL TECH
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