Show simple item record

contributor authorDeVol, Nathaniel
contributor authorSaldaña, Christopher
contributor authorFu, Katherine
date accessioned2024-04-24T22:32:16Z
date available2024-04-24T22:32:16Z
date copyright8/25/2023 12:00:00 AM
date issued2023
identifier issn1530-9827
identifier otherjcise_24_2_024502.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295406
description abstractMachine 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleMethods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals
typeJournal Paper
journal volume24
journal issue2
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4063130
journal fristpage24502-1
journal lastpage24502-10
page10
treeJournal of Computing and Information Science in Engineering:;2023:;volume( 024 ):;issue: 002
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record