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Frequency spectrum parameter processing method during motor fault diagnosis

A technology for fault diagnosis and parameter processing, which is used in motor generator testing, electrical measurement, and electrical variable measurement. The effect of accuracy

Pending Publication Date: 2021-08-06
XIAN TECHNOLOGICAL UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for processing frequency spectrum parameters during motor fault diagnosis, which solves the problem of inaccurate and unstable diagnostic results of traditional motor fault diagnosis methods

Method used

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  • Frequency spectrum parameter processing method during motor fault diagnosis

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Embodiment

[0027] See figure 1 The detailed steps of the present invention are as follows:

[0028] Step 1: Perform FFT transformation on the three-phase current data to obtain the spectral data of the three phases.

[0029] Step 2: Segment the three-phase spectrum data, is divided into a frequency band greater than 0 and less than or equal to 100, more than 100 and less than or equal to 1000, greater than 1000 and less than or equal to 4000.

[0030] Step 3: For the three-phase greater than 0 and less than or equal to 100, the maximum value is found through the loop mode in (0.5, 1.5], (1.5, 29.5], (99.5, 100] segments. Way, get 100 data of 1 Hz, eliminate 50 Hz fundamental frequency data. For three-phase greater than 100 and less than or equal to 1000, through the loop mode in (100, 107.5], (107.5, 112.5] ... (992.5, 997.5], (997.5, 1000] to find the maximum value in the section, obtain 200 data with 5Hz. The three-phase greater than 1000 and less than or equal to 4000, through the loop mo...

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Abstract

The invention discloses a frequency spectrum parameter processing method during motor fault diagnosis, which analyzes the problem of how to process frequency spectrum parameters during motor fault diagnosis, and performs information compression according to different resolutions according to different fault feature information contents contained in different frequency sections, extracts symmetry information and absolute value information of the data, reprocesses the information by using different excitation functions, adds probability parameters, normalizes frequency spectrum information of different sections, and finally obtains the maximum parameter as one dimension in fault diagnosis evaluation by using the excitation function of 1 norm. According to the method, the evaluation dimension in a fault diagnosis evaluation mechanism is increased, the evaluation mechanism is perfected, and the diagnosis accuracy is improved.

Description

Technical field [0001] The present invention relates to an electrical device detection diagnostic field, and more particularly to a spectral parameter processing method at a motor fault diagnosis. Background technique [0002] With the continuous in-depth and improvement of the industrialization process, people not only put forward the accuracy and stability of the implementation agency, but also high expectations on whether the actuator has self-diagnostic capabilities. Therefore, a convenient installation, accurate, real-time diagnostic system that reflects the operating state of the motor has become an urgent need for the current factory. [0003] In the traditional motor failure diagnosis method, it is mainly based on the understanding of the principle of motor, and the characteristic parameters of different fault features are used as the evaluation basis in the fault diagnosis evaluation mechanism. Due to different models of motors, changes in different loads, such as the sp...

Claims

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Application Information

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IPC IPC(8): G01R31/34G06F17/18
CPCG01R31/343G06F17/18
Inventor 高雅孙晋坤朱秦岭李波
Owner XIAN TECHNOLOGICAL UNIV
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