Device for monitoring state of rotary bearing and diagnosing fault based on laboratory virtual instrument engineering workbench (Lab VIEW)

Abstract

The invention relates to a device for monitoring the state of a rotary bearing and diagnosing a fault based on a laboratory virtual instrument engineering workbench (Lab VIEW). The device comprises an industrial personal computer, a detection device, a stabilized-voltage supply, a data acquisition module, a data processing module and a fault diagnosis module; the industrial personal computer is provided with a programmable communication interface (PCI) data acquisition card including a simulated input channel; the detection device is provided with an acceleration transducer and a signal conditioning circuit; the signal conditioning circuit is used for amplifying and filtering signals picked up by the acceleration transducer and the like; the data acquisition module is used for inputting acquired signals into the industrial personal computer by a program, editing a data acquisition (DAQmx) driving program in the Lab VIEW, controlling sampling frequencies of the signals, inputting and outputting and the like; the data processing module comprises denoising display, storage and characteristic extraction of the signals, and is used for removing the interference of noise, extracting time-domain and frequency-domain characteristic quantity of the signals and preparing for fault diagnosis; the fault diagnosis module is used for obtaining fault information according to extracted characteristic data of the rotary bearing, outputting a diagnosis result and processing suggestions. The device has the advantages of simple structure, high openness, good real-time performance, friendly human-computer interface, no need of diagnostician participation and higher reliability, and can be used for automatically identifying the fault of the rotary bearing.

Description

technical field [0001] The invention belongs to the field of mechanical equipment fault diagnosis, in particular to a slewing bearing monitoring and fault diagnosis device based on a virtual instrument development platform (LabVIEW). Background technique [0002] Large-scale slewing bearings are important components of various construction machinery and equipment, such as tower cranes, portal cranes, and excavators. Its failure or not directly affects the operation of the whole machine, and is also related to the safety of construction personnel and production equipment. However, due to its high price, difficult disassembly and assembly, and long maintenance cycle, it is necessary to carry out condition monitoring and early fault diagnosis of large slewing bearings, which can avoid sudden failures and unnecessary disassembly and inspection, thereby improving economic benefits. [0003] During the operation of the slewing bearing, it is not uncommon for accidents to occur du...

AI Technical Summary

Problems solved by technology

The disadvantage of this approach is that the diagnosis is ineff

Images