Bearing fault diagnosis method in transmission part of mine hoist

A technology for mine hoists and transmission components, applied in special data processing applications, complex mathematical operations, instruments, etc., can solve problems such as difficult diagnosis of early bearing failures, improve reliability and safety, facilitate calculations, and install equipment little effect

Pending Publication Date: 2021-11-02
LANZHOU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for diagnosing bearing faults in transmission parts of mine hoists that can diagnose early bearing faults in the prior art

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  • Bearing fault diagnosis method in transmission part of mine hoist
  • Bearing fault diagnosis method in transmission part of mine hoist
  • Bearing fault diagnosis method in transmission part of mine hoist

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Embodiment Construction

[0034] Below in conjunction with accompanying drawing and embodiment the present invention is described in detail:

[0035] A method for diagnosing a bearing fault in a transmission part of a mine hoist, comprising the following steps:

[0036] (1) Install a vibration acceleration sensor on the above-mentioned bearing, and collect vibration signals under normal state, inner ring fault, rolling element (ball) fault and outer ring fault at a sampling frequency of 12k (the time domain of the collected original signal Such as figure 1 shown), the collected analog signal is conditioned by the MAX3082 high-speed transceiver and converted into a standard signal, and then the standard signal is A / D converted to make it a digital signal, and then the converted digital signal is communicated to TMS320DM642DSP processor, real-time processing of digital signals.

[0037] (2) Use the ensemble empirical mode decomposition method to extract data from the real-time processed digital signal,...

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Abstract

The invention provides a bearing fault diagnosis method in a transmission part of a mine hoist, and the method comprises the steps: collecting vibration signals of a bearing in a normal state and a fault state through a vibration acceleration sensor, and converting the collected analog signals into digital signals; and then adopting an ensemble empirical mode decomposition sample entropy feature extraction method for the digital signals to obtain information entropies H(Xi) and Hf1(Xi) of the bearing in a normal state and a fault state, and comparing the H(Xi) with the Hf1(Xi) so as to diagnose the fault of the bearing. According to the vibration acceleration sensor, data are extracted from collected related digital signals by adopting an ensemble empirical mode decomposition method, EEMD decomposition is carried out to obtain a data residual ri of actual output and expected output of the sensor, corresponding information entropies are calculated through the residual ri, fault diagnosis of a rolling bearing can be realized through comparison of the information entropies, and then the reliability and the safety of the whole transmission part of the mine hoist are improved.

Description

technical field [0001] The invention belongs to the technical field of bearing fault diagnosis, and relates to a method for diagnosing a bearing fault in a transmission part of a mine hoist. Background technique [0002] The mine hoist refers to a transportation machine that establishes a connection between the underground work and the surface of the mine in the mining engineering profession. In the mine, the mine hoist is an automatic machine for working underground in coal mines and on the ground above the mine. The mine hoist mainly consists of a three-phase motor, a reducer, a reel (or sliding friction wheel), a braking system, a depth warning sign software management system, a mobile speed measurement speed limit system and an operating software system. [0003] At present, machine learning-based related algorithms have been successfully applied to the abnormal detection of bearings in mining machine hoists, but this method tends to ignore some early failures that may ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/20G06F17/16G06F119/02
CPCG06F30/17G06F30/20G06F17/16G06F2119/02
Inventor 蒋栋年把余江高玉鑫曹慧超申富媛毛海杰李亚洁鲁春燕
Owner LANZHOU UNIVERSITY OF TECHNOLOGY
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