KEYWORDS: Data acquisition, Human-machine interfaces, LabVIEW, Sensors, Time metrology, Control systems, Computing systems, Signal processing, Kinematics, Signal detection
Motorcycle crankshaft is a special rigid rotor. It is composed of crankshaft, connecting rod and slider. It belongs to
unbalanced rotor. Most of traditional methods of measuring unbalance value of crankshaft are not continuous, which
need human intervention. So the measurement time is long and measurement accuracy is not high. To solve the above
problem, a novel computer-based measurement is developed. The software of the measuring system is developed based
on G-language, namely LabVIEW. The hardware system includes accelerate sensors, multi-function Data Acquisition
(DAQ) card and industrial control computer. When the crankshaft rotates, its centrifugal forces are generated which
result in the supporting structure (also called vibration table) vibrating. Data acquisition, signal processing and analysis
can obtain unbalance value including amplitude and phrases. Computer-based measurement is used with software to set
up automated test system that can make fast measurements without human intervention. The application of virtual
instruments makes date analysis more accurate, and decreases the measuring time significantly; a complete measurement
can be finished in 25s. The results show that this new measuring system has the advantages of easy-of-use, high
precision, high efficiency and low costs.
In order to enhance the speed of image processing we apply the optical wavelet transform to vision system by the method of photoelectric hybrid implementation. The state-of-the-art liquid crystal on silicon (LCoS) technology is applied to improve the signal-to-noise ratio of the wavelet transform. A fan out grating implemented by a phase-only LCoS is used to implement multiple channel optical processing. Therefore the parallelism of the vision system is improved further. The research results shows that the optical wavelet transform based vision system is reasonable and feasible. The image feature extraction by optical information processing can enhance the speed of vision processing.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.