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A Method of Fault Diagnosis Based on the Correlation Coefficient of Single Value Neutral Set

A correlation coefficient and fault diagnosis technology, applied in the field of fault diagnosis, can solve problems such as large errors and unclear relationships, and achieve the effect of improving accuracy and accuracy.

Active Publication Date: 2022-03-01
NORTHWESTERN POLYTECHNICAL UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In most cases, the relationship between the fault phenomenon and the fault cause is not clear, and there is often a large error in judging the fault type under a single fault feature

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  • A Method of Fault Diagnosis Based on the Correlation Coefficient of Single Value Neutral Set
  • A Method of Fault Diagnosis Based on the Correlation Coefficient of Single Value Neutral Set

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Embodiment Construction

[0031] The method of the present invention will be further described below with reference to the accompanying drawings and embodiments of the invention.

[0032] It should be noted that the fault type in the embodiments and embodiments in the present application can be combined with each other in the case of an unable conflict. The present invention will be described in detail below with reference to the accompanying drawings.

[0033] It should be noted that the terms used herein are merely intended to describe embodiments, and are not intended to limit the exemplary embodiments of the present application. As used herein, unless the context further explicitly indicates that the singular form is intended to include multiple forms, but it should be understood that when the term "including" and / or "includes" in this specification, it indicates There is a combination of features, steps, operations, devices, components, and / or their combinations.

[0034] It should be noted that t...

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Abstract

The invention discloses a fault diagnosis method based on the correlation coefficient of a single-valued neutral set, which comprises the following steps: step 1, generating a triangular fuzzy number according to a fault model pattern data set; Fuzzy number; step 3, according to the matching of the fault template and the triangular fuzzy number of the pattern to be detected, the single-value neutral set representation of each fault type on each fault feature is generated; step 4, calculating the single-value neutral set representation and The ideal neutrosophic set represents the correlation coefficient of the row vector to judge the fault type of the pattern to be detected. On the basis of triangular fuzzy numbers, the present invention combines the advantages of single-valued neutron sets in processing uncertain information, and generates single-valued neutron sets for each fault type on each fault feature by matching the fault template with the triangular fuzzy number of the pattern to be checked. and calculate the correlation coefficient between the single-value neutrosophic set representation and the ideal neutrosophic set representation row vector for each fault type, so as to identify the fault type of the mode to be detected, which can effectively deal with uncertain information and improve the accuracy of fault identification.

Description

Technical field [0001] The present invention belongs to the field of fault diagnosis, and specifically, a fault diagnosis method based on the correlation coefficient of intelligence in a single value. Background technique [0002] Modern production systems are often complex, high-speed, and production equipment also increased. In actual use, the device or system is unavoidable. However, once it is faulty during the operation, it may cause a lot of losses. Therefore, timely troubleshooting of equipment and systems can effectively supervise the operational state to prevent accidents. [0003] The fault diagnosis is mainly judging system abnormal operation status and effectively identifies the fault type and site. In summary, the fault diagnosis method can be divided into two major categories: a fault diagnosis method based on mathematical model, based on the fault diagnosis method of artificial intelligence. Modern mechanical equipment is complicated and has been influenced by many...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02G06N7/02
CPCG05B23/0275G06N7/02
Inventor 邓鑫洋崔叶碧张瑜蒋雯
Owner NORTHWESTERN POLYTECHNICAL UNIV
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