Mechanical equipment flexible multi-state self-adaptive early warning method and device based on data mining

A mechanical equipment and data mining technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve weak problems

Active Publication Date: 2020-08-14
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the research on this aspect is still relatively weak, and the threshold standards provided by most standardization organizations or enterprises only serve as reference and guidance, and have nothing to do with the actual operation of the equipment.

Method used

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  • Mechanical equipment flexible multi-state self-adaptive early warning method and device based on data mining
  • Mechanical equipment flexible multi-state self-adaptive early warning method and device based on data mining
  • Mechanical equipment flexible multi-state self-adaptive early warning method and device based on data mining

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Embodiment Construction

[0073]Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for thorough understanding of the present disclosure, and for fully conveying the scope of the present disclosure to those skilled in the art.

[0074] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in the present invention shall have the usual meanings understood by those skilled in the art to which the present invention belongs.

[0075] In one embodiment of the present invention, a specific implementation method is described in detail with reference to the accompanying drawings, but the present invention is not limited by ...

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Abstract

The invention provides a mechanical equipment flexibility multi-state self-adaptive early warning method based on data mining. The method comprises the steps: performing preprocessing and feature processing on historical signals; identifying the running state of current equipment; determining an initial alarm threshold; acquiring a dynamic signal of the current equipment; performing similarity analysis on the monitoring data of the current equipment; establishing a current equipment state probability model; and determining an adaptive dynamic early warning value of the current equipment.

Description

technical field [0001] The invention relates to a flexible multi-state self-adaptive early warning method for mechanical equipment based on data mining. A specific fault feature set is obtained by collecting multi-source signals of mechanical equipment during operation and performing signal processing, and the equipment is divided into categories according to the clustering results. Different health states and use kernel density estimation and probabilistic neural network methods to diagnose the current state of the equipment, and adaptively obtain dynamic alarm thresholds under different health states. It is suitable for technical fields such as mechanical equipment signal processing, status detection, and fault warning. Background technique [0002] Mechanical equipment occupies an important position in modern industrial applications. As the equipment structure becomes more complex, online status monitoring and further diagnosis and evaluation of mechanical equipment becom...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0224
Inventor 戴伟李亚洲
Owner BEIHANG UNIV
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