A remote gearbox fault monitoring system based on labview

Abstract

The invention relates to a remote gearbox fault monitoring system based on LabVIEW. It includes a vibration sensor, a constant current adapter, a data acquisition card, a raspberry pie, a single-chip microcomputer, a WIFI module, a relay, and a host computer unit; the vibration sensor is adsorbed on the surface of the gearbox and is close to the top of the bearing end cover; the constant current adapter is used It is used to adjust the vibration signal collected by the vibration sensor; the data acquisition card is used to transmit the vibration signal data output by the constant current adapter to the raspberry pie; the raspberry pie is used to drive the data acquisition card to work, and the vibration The signal data is uploaded to the host computer unit; the host computer unit communicates with the single-chip microcomputer through the WIFI module, and then controls whether the constant current adapter and the Raspberry Pi work or not through the relay. The invention can overcome the requirements of wired monitoring on the working environment and meet the convenience of staff testing, can remotely grasp the running state of the gearbox in real time, and realize remote state monitoring and fault diagnosis.

Description

technical field [0001] The invention belongs to the field of gearbox fault monitoring, in particular to a remote gearbox fault monitoring system based on LabVIEW. Background technique [0002] As a kind of mechanical equipment, gearboxes are widely used in industrial production, and their failures often occur. Common failures often occur in gears and bearings. [0003] Gears usually work under complex working conditions such as variable speed and load, and are extremely vulnerable to damage and failure. Gear failure is an important factor inducing machine failure. According to statistics, 80% of the failures of transmission machinery are caused by gears, and gear failures in rotating machinery account for about 10% of their failures. [0004] As an extremely important part of mechanical equipment, rolling bearings have many advantages such as simple and compact structure, convenient assembly and disassembly, small running friction resistance, and high mechanical efficiency...

AI Technical Summary

Problems solved by technology

According to statistics, more than 30% of mechanical equipment failures are caused by bearing failures. Whether their operating status is normal or not often directly affects the performance of the entire mechanical equipment, and even threatens the personal safety of equipment operators, causing economic losses.

[0005] From the point of view of the collection method: the gearbox diagnosis is usually connected to the host computer for data collection through a wired connection, usually in the form of serial communication, but it is inconvenient to monitor the gear in the factory environment

Wireless sensors are more expensive

[0006] From the perspective of fault identification: time domain, frequency domain analysis and time-frequency joint analysis involve more digital signal processing operations, the whole process is slightly cumbersome, and often only the location of the fault can be judged. Difficult to distinguish

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