OS-ELM-based rolling bearing health state estimation system and method

A rolling bearing and health state technology, applied in the field of rolling bearing health state prediction system, can solve problems such as wear, fatigue spalling, shutdown and machine failure

Pending Publication Date: 2021-07-06
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a rolling bearing health state estimation system and method based on OS-ELM (Online Sequence Extreme Learning Machine), which is used to solve the problems of

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  • OS-ELM-based rolling bearing health state estimation system and method
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  • OS-ELM-based rolling bearing health state estimation system and method

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Embodiment Construction

[0020] The present invention will be further described below in combination with the accompanying drawings and specific embodiments.

[0021] like figure 1 As shown, a rolling bearing health status estimation system based on OS-ELM includes a signal acquisition module, a wireless WIFI transmission module and a PC-side analysis module.

[0022] The number acquisition module is composed of infrared imager, A / D converter and STM32f103 chip.

[0023] The wireless WIFI transmission module is composed of USR-C215 and wireless router.

[0024] The signal acquisition module uses an infrared thermal imager to shoot rolling bearings, converts the image signal to an analog-to-digital conversion using an A / D converter, and transmits the converted digital quantity to the STM32f103 chip through the SPI interface, and the STM32f103 is connected to the UART serial port of the USR-C215 , to realize the wireless communication of the data, and then the router uploads to the cloud through the I...

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Abstract

The invention relates to an OS-ELM-based rolling bearing health state estimation system and method, and belongs to the technical field of fault diagnosis. The system comprises a signal acquisition module, a WIFI transmission module and a PC end analysis module. The signal acquisition module is composed of an infrared imager, an A/D converter and an STM32f103 chip. The WIFI transmission module is composed of a USR-C215 and a wireless router. According to the invention, an infrared camera of the signal acquisition module is used to shoot a rolling bearing, the A/D converter is used to carry out analog-to-digital conversion on an image signal, a converted digital signal is transmitted to an STM32f103 through an SPI interface and then is transmitted to the PC end analysis module through the WIFI module, and a rolling bearing health condition prediction model is established through OS-ELM. Therefore, the running state of the rolling bearing is estimated. The system and the method have the advantages of high safety, good transmission performance, high accuracy, convenience, high efficiency and the like, and are suitable for rolling bearing health state estimation of various devices.

Description

technical field [0001] The invention relates to an OS-ELM-based rolling bearing health state estimation system and method, belonging to the technical field of fault diagnosis. Background technique [0002] As the most commonly used supporting component in rotating machinery, rolling bearings play a vital role and are widely used in rotating machinery in various fields. About 30% of the rotating machinery failures caused by rolling bearings will not only cause huge production and economic losses to the country and enterprises, but also cause casualties in severe cases. Appraisal appears to be very important. When a fault occurs, the cost of manual inspection alone is high, and it is difficult to completely avoid the occurrence of faults and predict faults in advance. [0003] By remotely monitoring and predicting the running status of rolling bearings, online diagnosis of rolling bearing faults can be effectively performed, thereby preventing faults from occurring. Conten...

Claims

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Application Information

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IPC IPC(8): G01M13/04G06K9/62G06N20/00
CPCG01M13/04G06N20/00G06F18/214G06F18/24
Inventor 范玉刚杨明莉吴建德王晓东黄国勇邹金慧冯早马军
Owner KUNMING UNIV OF SCI & TECH
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