Portable fault diagnosis instrument

Abstract

The invention relates to a machine diagnosis instrument, and specifically relates to a portable fault diagnosis instrument. The portable fault diagnosis instrument comprises a control part and an acquisition part. The control part takes an ARM as the main body, and is mainly used for controlling a signal conditioning module, a waveform display module, a data storage module, a data analysis module, a keyboard module and an interface module. The acquisition part takes a DSP as the main body, and is mainly used for implementing the acquisition function of a signal acquisition module and operation functions. The communication between the ARM and the DSP is completed by a dual-port RAM in an interrupt mode. By adopting an ARM+DSP structure mode, actual signals can be continuously acquired, displayed and stored, and data analysis and fault diagnosis can be completed. The portable fault diagnosis instrument is small in size, easy to carry, stable in performance and suitable for use in large companies and factories and mines.

Description

technical field [0001] The invention relates to a mechanical diagnostic instrument, in particular to a portable fault diagnostic instrument. Background technique [0002] With the development of production and the advancement of science and technology, mechanical equipment is developing towards a highly automated and intelligent direction. In the production process, mechanical equipment is affected by many factors, and various failures may occur, which reduces production efficiency and even causes huge economic losses. Therefore, it is very necessary to carry out fault diagnosis on mechanical equipment. Traditional fault diagnosis is mainly implemented for the time domain and frequency domain of the vibration signal. In fact, under different fault conditions, the influence of nonlinear factors on mechanical vibration signals is different, and traditional fault diagnosis cannot fully detect it, especially in large enterprises and factories and mines. Contents of the inven...

AI Technical Summary

Problems solved by technology

In fact, under different fault conditions, the influence of nonlinear factors on mechanical vibration signals is different, and traditional fault diagnosis cannot fully detect it, especially in large enterprises and factories and mines.

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