Name
Abstract | ||
|---|---|---|
This paper presents an experimental study using laser mouse sensors for the contactless revolutions per minute (RPM) measurement of a rotating shaft. The sensor performance characterization experiment is firstly conducted under different parameter setups. After the optimal parameter value has been found, the rotor RPM experiment is then conducted with a speed sweep from 500 to 3800 rpm, and data are gathered at 30 different speeds and processed using two different methods to convert the sensor readings into the RPM of the rotating shaft; the results are then displayed. The performance differences between the two methods are compared, and the observation is that both the linearity and the signal-to-noise ratio of the frequency correlation method are several times better than those for the amplitude correlation method. The conclusion summarizes the experimental results and the advantage associated with this new RPM sensing method and provides the motivation for its potential applications and its future works. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIM.2011.2169612 | IEEE T. Instrumentation and Measurement |
Keywords | Field | DocType |
measurement by laser beam,shafts,revolution per minute measurement,computerised instrumentation,velocity measurement,sensor performance characterization experiment,contactless rotor rpm measurement,mechanical variables measurement,rotors,signal to noise ratio,image sensors,optical image processing,laser mouse sensor,frequency correlation method,image motion analysis,mechanical engineering computing,rotating shaft,rotating machine measurements,image sensor,sensors,embedded systems,optical imaging,least squares approximation,registers,navigation | Least squares,Image sensor,Correlation method,Linearity,Laser,Control engineering,Electronic engineering,Rotor (electric),Amplitude,Mathematics | Journal |
Volume | Issue | ISSN |
61 | 3 | 0018-9456 |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Cheng | 1 | 35 | 5.38 |
| Mohamed Sobh Mohamed Mustafa | 2 | 1 | 0.36 |
| B Oelmann | 3 | 77 | 21.78 |