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Linear motor fault detection method and system based on big data analysis

A linear motor and fault detection technology, which is applied in the direction of motor generator testing, other database retrieval, other database clustering/classification, etc., can solve the problem of low efficiency of linear motor fault discrimination

Inactive Publication Date: 2021-09-07
河南纽瑞电气科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a linear motor fault detection method and system based on big data analysis, which is used to solve the problem of low efficiency of fault discrimination of linear motors in the existing artificial visual method

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  • Linear motor fault detection method and system based on big data analysis
  • Linear motor fault detection method and system based on big data analysis

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be introduced below in conjunction with the drawings in the embodiments of the present invention.

[0033] Embodiment of linear motor fault detection method based on big data analysis

[0034] First, in order to facilitate the understanding of the technical solution of this embodiment, the linear motor is introduced:

[0035] 1) For a linear motor used in a specific scene, it reciprocates on the track, and it often does some repetitive work, and the work complexity is not high. Generally, multiple linear motors can work together to complete diverse and complex tasks, but the movement of a single linear motor is not complicated;

[0036] 2) In order to realize the control of the linear motor, a set of control system is often required. Generally, the control system is designed when t...

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Abstract

The invention relates to a linear motor fault detection method and system based on big data analysis, and belongs to the technical field of motor fault diagnosis. The method comprises the following steps: obtaining control data of a linear motor to be detected, and corresponding operation data and / or state data; judging whether the operation data and / or the state data are / is abnormal or not, if yes, recording the operation data and / or the state data as abnormal data of a fault to be judged, wherein one piece of abnormal data corresponds to one piece of control data; and according to the abnormal data of the to-be-judged fault and a preset first graph data structure, judging a fault type corresponding to the abnormal data of the to-be-judged fault and a fault occurrence probability. According to the invention, the invention achieves the automatic discrimination of the fault type corresponding to the abnormal data in the operation process of the linear motor through the construction of the first graph data structure, does not depend on manual discrimination, solves a problem of low fault discrimination efficiency caused by manual discrimination, and improves the fault discrimination efficiency.

Description

technical field [0001] The invention relates to the technical field of motor fault diagnosis, in particular to a linear motor fault detection method and system based on big data analysis. Background technique [0002] Linear motor is a transmission device that directly converts electrical energy into linear motion mechanical energy without any intermediate conversion mechanism. Linear motors are simple in structure, fast in response, easy to adjust and control, and are widely used in logistics systems, industrial processing and assembly, and other fields. [0003] In the practical application of linear motors, some failures often occur, such as guide rail faults, stator faults, power supply faults, etc., guide rail faults such as guide rail wear, guide rail deformation, etc., stator faults such as stator demagnetization, stator distribution irregularity, stator damage, etc. Power failure such as unstable voltage, etc. For the fault diagnosis of linear motors, manual visual...

Claims

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Application Information

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IPC IPC(8): G06F16/901G06F16/906G01R31/34
CPCG06F16/9024G06F16/906G01R31/34
Inventor 刘毅徐世周马扬名陈少峰平修远
Owner 河南纽瑞电气科技有限公司
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