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 Volume 11, 2012
Print ISSN: 1109-2777
E-ISSN: 2224-2678








Issue 1, Volume 11, January 2012

Title of the Paper:  Estimation of Vehicle Parameters and Road Friction Using Steering Torque and Wheel Speeds


Authors: Yao Li, Jianwu Zhang, Xiqiang Guan

Abstract: It is often difficult to measure all necessary parameters directly in the current stability control systems. This paper presents a nonlinear observer to estimate vehicle's yaw rate, lateral acceleration, tire side slip angles and the road friction coefficient based on the measurement signals of the Electric Power Steering (EPS) system and the Anti-lock Braking System (ABS). The performances of the designed nonlinear observer have been investigated by means of computer simulations and experimental tests under various conditions.

Keywords: Nonlinear observer, Brush tire model, Tire aligning moment, Steering torque, Wheel speeds

Title of the Paper:  A Novel Method of Dynamic Balance Weighting for Single-Disk Rotor System


Authors: Zhao Qing-Liang, Wang Hua-Qing, Yao Jian-Fei

Abstract: Reasons for rotating mechanical vibration are varied, while the situations on site show that the rotor mass imbalance is the main reason. A novel method of dynamic balance weighting for single-disk rotor system based on equivalent phase difference mapping is proposed. Firstly, the influence coefficient method and its characteristics are analyzed. Secondly, principle on how to measure phase by key pulse method and definition of phase are introduced, and physical meaning of phase by Discrete Fourier Transform (DFT) based on vibration signal triggered by key phase signal is analyzed in detail. Thirdly, the equivalent phase difference mapping relationship between incentive and vibration response for single-disk rotor system is proved by differential equations and Laplace transform theory. Finally, a specific application instance and procedure based on the proposed method are showed. The new proposed method is simple and easy to peel the phase coupling relationship between incentive and response, which can be used to guide dynamic balance weighting for single-disk rotor system on site.

Keywords: Dynamic Balance, Influence Coefficient, DFT, Laplace Transform, Equivalent Phase Difference Mapping, Single-Disk Rotor

Title of the Paper:  Model Development and Comparative Study of Bayesian and ANFIS Inferences for Uncertain Variables of Production Line in Tile Industry


Authors: Amir Azizi, Amir Yazid B. Ali, Loh Wei Ping

Abstract: The life cycle of tile products are decreasing especially for customized products. The demand changes also fluctuate from time to time for each product type. This phenomena created crucial issue in meeting customers' demands within required due date. The occurrences of uncertain conditions caused the production line performance not able to meet the requirement because they faced uncertain changes in setup time, machinery breakdown time, lead time of manufacturing, and scraps. Hence, an accurate estimation on the production line in the presence of these uncertainties is required. Robust decision making on production line could be made when an accurate estimation of uncertain variables is modeled. Two approaches based on Bayesian inference and adaptive neuro-Fuzzy inference system (ANFIS) were utilized in this study for models development to estimate the effect of uncertain variables of production line in the tile industry. The models were validated and tested based on data obtained from a tile factory in Iran. The strength of our developed models is that the coefficients of decision variables are nonconstant. The best model was judged according to the mean absolute percentage error (MAPE) criterion. The results demonstrated that the ANFIS model generates the lower MAPE by 0.022 and higher correlation by 0.991 compared to the Bayesian model. Consequently, better decisions are generated due to easier identification of uncertainty data and the elaboration made the production planning process better understood.

Keywords: Adaptive neuro-Fuzzy inference system, Bayesian, Uncertainties, Production, Throughput



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