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Your search keyword '"Wei, C.Y."' showing total 44 results
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44 results on '"Wei, C.Y."'

8. An on-line condition monitoring and diagnosis system for feed rolls in the plate mill

Author

Jeng, J.J. and Wei, C.Y.

Subjects
Technology -- Research, Manufacturing industry -- Research, Milling machinery -- Research, Control systems -- Research, Plates (Engineering) -- Research, Vibration -- Measurement, Engineering and manufacturing industries, Science and technology
Abstract

An on-line condition monitoring and diagnosis system for feed rolls was developed for providing early warnings of malfunctions so as to avoid great losses resulting from unexpected shutdown of the production line. This system measures the bearing vibration signals on-line and judges the feed roll condition automatically according to the diagnosis rules stored in the computer These rules were established based on results of long-term vibration measurements and proved by many real cases to be very effective and reliable. The derivation of these diagnosis rules and the development of the on-line monitoring and diagnosis system based on these rules are depicted in this article. [DOI: [10.1115/1.1286133]

Published
2002

18. Iterative Near-Maximum-Likelihood Detection in Rank-Deficient Downlink SDMA Systems

Author

Wei, C.Y., Akhtman, J., Ng, S.X., and Hanzo, L.

Abstract

—In this paper, a precoded and iteratively detected downlink multiuser system is proposed, which is capable of operating in rankdeficient scenarios, when the number of transmitters exceeds the number of receivers. The literature of uplink space division multiple access (SDMA) systems is rich, but at the time of writing there is a paucity of information on the employment of SDMA techniques in the downlink. Hence, we propose a novel precoded downlink SDMA (DL-SDMA) multiuser communication system, which invokes a low-complexity nearmaximum-likelihood sphere decoder and is particularly suitable for the aforementioned rank-deficient scenario. Powerful iterative decoding is carried out by exchanging extrinsic information between the precoder’s decoder and the outer channel decoder. Furthermore, we demonstrate with the aid of extrinsic information transfer charts that our proposed precoded DL-SDMA system has a better convergence behavior than its nonprecoded DL-SDMA counterpart. Quantitatively, the proposed system having a normalized system load of Ls = 1.333, i.e., 1.333 times higher effective throughput facilitated by having 1.333 times more DL-SDMA transmitters than receivers, exhibits a “turbo cliff” at an Eb/N0 of 5 dB and hence results in an infinitesimally low bit error rate (BER). By contrast, at Eb/N0 = 5 dB, the equivalent system dispensing with precoding exhibits a BER in excess of 10%. Index Terms—Iterative decoding, maximum likelihood detection, space division multiple access (SDMA) downlink, sphere decoding.

Published
2008

39. Temperature Dependence of Dynamic Modulus and Damping in Composites and Optical Telecommunication Cables Tested by the Vibration Resonance Technique.

Author

Wei, C.Y. and Kukureka, S.N.

Subjects
TELECOMMUNICATION cables, OPTICAL resonance, RESONANCE, NONDESTRUCTIVE testing, DAMPING (Mechanics), MATERIALS testing
Abstract

Studies the temperature dependence of dynamic modulus and damping in composites and optical telecommunication cables tested by the vibration resonance technique. Materials and cable structures; Resonance measurements at elevated temperatures; Amplitude response spectra at elevated temperatures; Pultruded glass reinforced plastic rods.

Published
2004

44. The research on the estimation for the NOx emissive concentration of the pulverized coal boiler by the flame image processing technique

Author

Wang, F., Wang, X.J., Ma, Z.Y., Yan, J.H., Chi, Y., Wei, C.Y., Ni, M.J., and Cen, K.F.

Subjects
*NITROGEN oxides, *EMISSIONS (Air pollution), *ARTIFICIAL neural networks
Abstract

In this paper, flame image processing technique is used to estimate NOx emissive concentration of the pulverized coal boiler. According to the brightness value of flame image pixels, the temperature distribution of the flame is calculated. The combustion characteristic parameters are picked up from the flame image. Based on the back propagation neural network, the model to estimate the NOx concentration in the gas released from the power plant boiler has been developed. The experiments on the furnace flame monitor system of a power plant have testified that this estimation model can get the satisfying results. [Copyright &y& Elsevier]

Published
2002
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