Motor state monitoring method and system based on data driving

A data-driven, state-of-the-art technology, used in motor-generator testing, engine testing, and machine/structural component testing, etc., can solve problems such as the inability to predict the future development trend of equipment and the inability to manage the health status of equipment, so as to improve efficiency and improve efficiency. The effect of accuracy

Pending Publication Date: 2021-06-25
CHINA TOBACCO HENAN IND
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  • Claims
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Problems solved by technology

[0003] However, the traditional technical solution focuses on the current state of the equipment, and cannot predict the future development trend of the equipment, let alone systematically manage the health status of the equipment.

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  • Motor state monitoring method and system based on data driving
  • Motor state monitoring method and system based on data driving
  • Motor state monitoring method and system based on data driving

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Embodiment Construction

[0049] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and in no way limits the disclosure, its application or uses in any way. The present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that unless specifically stated otherwise, the relative arrangements of parts and steps, compositions of materials, numerical expressions and numerical values ​​set forth in these embodiments are to be interpreted as illustrative only and not as limiting.

[0050] As used in this disclosure, "first", "second": and similar terms do not denote any order, quantity, or importance, but are merely used to ...

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Abstract

The invention discloses a motor state monitoring method and system based on data driving, and the method comprises the steps: segmenting the working condition of a motor after stable operation, so as to obtain a steady-state working condition list; according to the segmentation result, training to obtain a working condition anomaly detection model corresponding to the steady-state working condition list; matching the current working condition of the motor with each combined working condition in the steady-state working condition list file; and obtaining a motor state monitoring result according to the matching result and the corresponding working condition anomaly detection model. According to the method, the motor working condition is segmented, the effective motor operation working condition can be obtained, the working condition anomaly detection model is obtained through training on the basis of data analysis, and on the basis of the working condition matched with the current working condition of the motor in the steady-state working condition list file and the working condition anomaly judgment model corresponding to the matched working condition, the current motor working condition is analyzed, the motor state monitoring result is automatically and directly obtained, and the defect that whether the motor is in the abnormal state or not is difficult to effectively judge in the prior art is overcome.

Description

technical field [0001] The invention relates to the technical field of motor diagnosis, in particular to a data-driven motor state monitoring method and system. Background technique [0002] Motor state monitoring and fault diagnosis technology is a technology to understand and master the state of the motor during use, determine its overall or partial normal or abnormal, and find faults and their causes. The prior art solution is generally a condition monitoring and diagnosis device based on electrical characteristic analysis technology. By measuring the current and voltage signals when the motor is running under load, and analyzing the characteristics of spectrum, harmonics, electrical parameters, etc., it can further detect faults and misalignments caused by bearings. State changes of faults, load faults, mechanical looseness, insulation and a series of electrical and mechanical faults to determine the fault of the entire drive system. [0003] However, the traditional te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34G01M15/00
CPCG01M15/00G01R31/34
Inventor 李明伟许佩张伟峰李秀芳许强栗勇伟乔建军毛爱龙姜克森董云成吴军伟周亚丽晁红杰张东峰杨根成张要朋周政伟
Owner CHINA TOBACCO HENAN IND
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