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Coal mining machine fault tracing method based on SDG model

A shearer and fault technology, which is applied in the field of shearer fault tracking based on the SDG model, can solve problems such as difficulties in fault diagnosis and fault propagation research

Pending Publication Date: 2021-06-18
鄂尔多斯应用技术学院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the complexity of the shearer system, there are still many difficulties to be overcome in conventional fault diagnosis and fault propagation research

Method used

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  • Coal mining machine fault tracing method based on SDG model
  • Coal mining machine fault tracing method based on SDG model
  • Coal mining machine fault tracing method based on SDG model

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Embodiment Construction

[0031] The description and claims do not use the difference in name as a way to distinguish components, but use the difference in function of the components as a criterion for distinguishing. As mentioned throughout the specification and claims, "including" is an open-ended term and should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve the technical problem within a certain error range, and basically achieve the technical effect.

[0032] Directional terms such as up and down, left and right in this description and the claims are combined with the accompanying drawings for the convenience of further description and make the application more convenient to understand, and do not limit the application. In different scenarios, up and down, left and right, inside and outside are all Relatively speaking.

[0033] The present invention will be further described in detail below with ref...

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Abstract

The invention discloses a coal mining machine fault tracing method based on an SDG model, and relates to the technical field of coal mine equipment fault detection. The method comprises the following steps of: S1, establishing a structure model according to the system composition and component hierarchical relationship of a coal mining machine; S2, adding specific state variables according to the structure model to obtain a plurality of system modules; S3, qualitatively analyzing the plurality of system modules to generate a plurality of nodes, and establishing a causal model to obtain a compatible path; and S4, establishing a cloud model, and quantitatively analyzing the causal model to obtain an analysis result. According to the coal mining machine fault tracing method based on the SDG model, the defect that the SDG model cannot be quantitatively discussed is overcome, and the randomness of fault propagation in actual conditions is considered. The cloud model combines randomness and fuzziness, the propagation process can be quantitatively considered, and the state value of an unmeasured node can be predicted.

Description

technical field [0001] The invention relates to the technical field of fault detection of coal mine equipment, and more particularly, to a fault tracing method for a coal mining machine based on an SDG model. Background technique [0002] The fault diagnosis and isolation of shearer is an interactive diagnosis process. After obtaining less symptom information, first determine the current state, that is, all possible fault causes, and then perform detection on each state to further locate the fault. The failure rate of each component of each system of the shearer is usually not the same. Inside the system, some units have a higher probability of failure than other units, and the failure of the system is often caused by the failure of these units. [0003] Due to the complex structure of the shearer and the complex working environment, the failure of a single component may cause more component failures, which will eventually manifest as abnormal parameters and performance fai...

Claims

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Application Information

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IPC IPC(8): E21F17/18E21F17/00G06F30/20
CPCE21F17/18E21F17/00G06F30/20
Inventor 李晓雪曹宇张振良陆鹏
Owner 鄂尔多斯应用技术学院
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