| contributor author | DeVol, Nathaniel | |
| contributor author | Saldaña, Christopher | |
| contributor author | Fu, Katherine | |
| date accessioned | 2024-04-24T22:32:16Z | |
| date available | 2024-04-24T22:32:16Z | |
| date copyright | 8/25/2023 12:00:00 AM | |
| date issued | 2023 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_24_2_024502.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4295406 | |
| description abstract | Machine condition monitoring has been proven to reduce machine downtime and increase productivity. The state-of-the-art research uses vibration monitoring for tasks such as maintenance and tool wear prediction. A less explored aspect is how vibration monitoring might be used to monitor equipment sensitive to vibration. In a manufacturing environment, one example of where this might be needed is in monitoring the vibration of optical linear encoders used in high-precision machine tools and coordinate measuring machines. Monitoring the vibration of sensitive equipment presents a unique case for vibration monitoring because an accurate calculation of the maximum sustained vibration is needed, as opposed to extracting trends from the data. To do this, techniques for determining sustained peaks in vibration signals are needed. This work fills this gap by formalizing and testing methods for determining sustained vibration amplitudes. The methods are tested on simulated signals based on experimental data. Results show that processing the signal directly with the novel Expire Timer method produces the smallest amounts of error on average under various test conditions. Additionally, this method can operate in real-time on streaming vibration data. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Methods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals | |
| type | Journal Paper | |
| journal volume | 24 | |
| journal issue | 2 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4063130 | |
| journal fristpage | 24502-1 | |
| journal lastpage | 24502-10 | |
| page | 10 | |
| tree | Journal of Computing and Information Science in Engineering:;2023:;volume( 024 ):;issue: 002 | |
| contenttype | Fulltext | |