Improvement vibration frequency diagnosis model on general mechanical faults

• Main Authors: Ying-Chao Huang, 黃英昭
• Other Authors: Wu-Shung Fu
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/23640013331390153779

碩士 === 國立交通大學 === 精密與自動化工程學程碩士班 === 91 === Abstract This study is based on the commonly seen mechanical malfunction spectrum theory. In most commonly seen industrial maintenance diagnosis periodical, the introduced malfunction model spectrum is usually free hand spectrum. But in this study, we consider the free hand spectrum is over idealistic and simplified, so in here, we proposed a simple malfunction spectrum physically measured from structural experiment. The spectrum is then compared with the free hand spectrum and the differences are identified. The actual measured spectrum from the lab can be a reference for the industrial mechanical malfunction spectrum to minimum the discrepancy between the free hand spectrum and the actual measured spectrum. In order to improve that this experiment is practical, many conditions in this experiment are controlled. The discussion of frequency diagnosis model for industrial mechanical equipment is integrated for further analysis to prove the experimental spectrum and the malfunction spectrum of long-term operating equipment measured via vibration apparatus are resembled to each other. Electrical equipments in modern factories are developing towards mega-sizing, serializing, highly speeding, highly accurate, systematize and automation due to progressing new technologies and mass production in the industry. The bigger the factory equipment is, the variety the equipment function is. When the equipment is with variety of functions, the operation loading has become higher and the connection between each system is more related. Moreover, the combination and equipment structure is also more complicated. If the equipment is malfunction, the loss is serious. Through the vibration analysis apparatus, different kind of data can be collected through equipment operation to search for possible cause of a malfunction and to reinforce the reliability and availability of the equipment for preventive maintenance criterion. The possibility of a sudden equipment malfunction can also be minimized to reduce the maintenance time and cost.