Bayesian network high-voltage switch cabinet health system evaluation method based on multi-scale permutation entropy

A high-voltage switchgear, Bayesian network technology, applied in information technology support systems, instruments, data processing applications, etc., can solve problems such as misjudgment, on-site electromagnetic and mechanical interference

Pending Publication Date: 2021-09-10
ZHEJIANG UNIV OF TECH
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Problems solved by technology

The above method is widely used in industrial field, but it is very vulnerable to field electromagnetic and mechanical interference
In addition, the above methods rely too much on subjective judgment and have limitations. If only one of the methods is relied on, it will often lead to misjudgment

Method used

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  • Bayesian network high-voltage switch cabinet health system evaluation method based on multi-scale permutation entropy
  • Bayesian network high-voltage switch cabinet health system evaluation method based on multi-scale permutation entropy
  • Bayesian network high-voltage switch cabinet health system evaluation method based on multi-scale permutation entropy

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Embodiment Construction

[0053] In order to make the technical scheme and design idea of ​​the present invention clearer, we describe it in detail in conjunction with the accompanying drawings.

[0054] The research object is the electric high-voltage switchgear, and the sampling data is the parameter information collected by the sensor in the electric high-voltage switchgear.

[0055] refer to figure 1 , the multi-scale permutation entropy calculation process of the power high-voltage switchgear working condition time series is generally to coarse-grain the time series collected by each sensor in the power high-voltage switchgear, and then perform sequence reordering on the processed coarse-grained sequence. Finally, the permutation entropy value of the sequence is calculated according to the calculation method of permutation entropy, which is the multi-scale permutation entropy value.

[0056] refer to Figure 4 , a method for evaluating the health system of electric high-voltage switchgear based ...

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Abstract

The invention discloses a Bayesian network high-voltage switch cabinet health system evaluation method based on multi-scale permutation entropy. The method comprises the steps: firstly, analyzing and fusing information of multiple physical sensors of a high-voltage switch cabinet; secondly, introducing coarse graining operation and a permutation entropy method to realize effective extraction of the feature information; and finally, constructing and training a Bayesian network model based on expert domain knowledge to realize health state evaluation of the high-voltage switch cabinet system. According to the method, data sampled by different detection means can be fused, so that accurate evaluation of the safety state of the high-voltage switch cabinet is realized, and safe and stable operation of the electric power high-voltage switch cabinet is guaranteed.

Description

technical field [0001] The invention belongs to the field of state evaluation of high-voltage switch cabinets, and in particular relates to a health system evaluation method suitable for high-voltage switch cabinets of electric power, which ensures the normal operation of the high-voltage switch cabinet system of electric power. Background technique [0002] As one of the main equipment of the power system, the power high-voltage switchgear is related to the safety of the whole power system. Condition-based maintenance is a necessary means to ensure the safe and reliable operation of electric high-voltage switchgear, and the core and basis of condition-based maintenance is condition assessment. Through a comprehensive evaluation of the high-voltage switchgear, and then formulate maintenance strategies based on the evaluation results, not only can improve the reliability of the high-voltage switchgear operation, but also can generate huge economic benefits. [0003] During t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06Y04S10/50
Inventor 张宝康葛其运吴麒王鑫张文安王迎
Owner ZHEJIANG UNIV OF TECH
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