Paper
31 December 2008 Investigation of the synthetic experiment system of machine equipment fault diagnosis
Hongyu Liu, Zening Xu, Xiaoguang Yu
Author Affiliations +
Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71301W (2008) https://doi.org/10.1117/12.819607
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
Abstract
The invention and manufacturing of the synthetic experiment system of machine equipment fault diagnosis filled in the blank of this kind of experiment equipment in China and obtained national practical new type patent. By the motor speed regulation system, machine equipment fault imitation system, measuring and monitoring system and analysis and diagnosis system of the synthetic experiment system, students can regulate motor speed arbitrarily, imitate multi-kinds of machine equipment parts fault, collect the signals of acceleration, speed, displacement, force and temperature and make multi-kinds of time field, frequency field and figure analysis. The application of the synthetic experiment system in our university's teaching practice has obtained good effect on fostering professional eligibility in measuring, monitoring and fault diagnosis of machine equipment. The synthetic experiment system has the advantages of short training time, quick desirable result and low test cost etc. It suits for spreading in university extraordinarily. If the systematic software was installed in portable computer, user can fulfill measuring, monitoring, signal processing and fault diagnosis on multi-kinds of field machine equipment conveniently. Its market foreground is very good.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongyu Liu, Zening Xu, and Xiaoguang Yu "Investigation of the synthetic experiment system of machine equipment fault diagnosis", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71301W (31 December 2008); https://doi.org/10.1117/12.819607
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KEYWORDS
Signal attenuation

Spectrum analysis

Statistical analysis

Signal processing

Frequency conversion

Manufacturing

Signal analysis

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