| Summary: | 碩士 === 國立勤益科技大學 === 機械工程系 === 107 === The daily production rate of industrial paper-making machine is generally high. It can generate a very high amount of revenue everyday. If there is any temporary breakdown occurred in paper-making machine, this not only causes serious damages on machinery but also serious losses in company’s revenue. A non-schedule shutdown maintenance usually increases the costs. A paper-making mill has introduced a predictive maintenance method to reduce the probability of non-schedule shutdown maintenance. The damage degree of equipment can be tracked through lubricant analysis, thermal image analysis and vibration monitoring technology. Vibration monitoring is the easiest method to detect abnormal conditions occurred in machinery in the planned maintenance activities. However, the reason of abnormal status of machinery can not be accurately judged only by the magnitude of vibration, but only the severity of damage can be judged. Therefore, the vibration displacement is transformed into the spectrum by the vibration spectrum analysis method, which can effectively assist the analysts to find out the abnormal points of equipment and understand the fault condition. This allows maintenance engineers to prevent the damage caused by the fault from affecting the normal production schedule. Maintenance engineer applies vibration spectrum analyzer technology to find out abnormal points of equipment in paper-making mill, verify the accuracy of analysis, find damaged parts inside machine in advance, and carry out mechanical maintenance and replacement of parts as soon as possible.
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