Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
A Rough T-S Fuzzy Model, pp.3072–3076
Wang, Li
Zhou, Xianzhong
Shen, Jie
Nanjing Universtiy of Tech.
Nanjing Univ.
Nanjing Universtiy of Tech.
A rough T-S fuzzy model that uses rough set to design the structure
of T-S fuzzy model is proposed. Fuzzy c-means clustering is used to
transform the continuous attributes to the discretized ones and partition
the input space. Heuristic attribute reduction algorithm based on attribute
significance deals with the discretized decision table to remove
redundant condition attributes. Concise decision rules are extracted according
to the threshold of degree of support, confidence and coverage.
The rules of T-S fuzzy model are got according to the extracted decision
rules. Antecedent parameters of T-S fuzzy model are determined
according to fuzzy partition result, and consequent parameters are i-
dentified by least square method. Fuzzy rules of the proposed model
have clear physical meaning and simplified structure. Moreover, a s-
tudy algorithm is no longer needed to optimize the parameters of fuzzy
model. Finally, the validity of the proposed model is verified by water
treatment modeling experiment.
◁ PFrA-51
Dynamic Fault Tree Analysis based Fault Diagnosis System of Power
Transformer, pp.3077–3081
GUO, Jiang
Shi, Lei
Zhang, Kefei
Gu, Kaikai
Bai, Weimin
Zeng, Bing
Liu, Yajin
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
The process of transformer fault diagnosis and DFTA are first presented
in this paper and then we apply DFTA to the field of transformer faults
diagnosis. By establishing the fault tree of transformer, a practical,
easily-extended, interactive and self-learning enabled fault diagnosis
system based on DFTA for transformer is designed and implemented.
With the implementation and application of the DFTA diagnosis system,
it’s easy to get a reasonable result from the computer with the help of
experts. The practical results demonstrated that the system can highly
improve the accuracy of transformer fault diagnosis and effectively improve
the reliability and safety transformer which brings much economic
benefits in return.
◁ PFrA-52
Aging and Life Management Methods of Pressurizer Based on PDCA
Cycle in Nuclear Power Station, pp.3082–3086
GUO, Jiang
Bai, Weimin
Feng, Zhihui
Gu, Kaikai
Zeng, Bing
Liu, Yajin
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Wuhan Univ.
Abstract―the Pressurizer is important equipment in PWR nuclear power
station. There is only one Pressurizer, which adjust and keep pressure
stable, overall the One Loop System. It is very important for safe
operation of nuclear power station to keep integrity of Pressurizer. To
carry out the work of aging and life management of Pressurizer more
effectively and ensure the Pressurizer run safe and stably, this paper
does research on Aging and Life Management Methods of Pressurizer.
On the basis of PDCA Cycle, this paper realize the management of
leading principles to aging management, operation control, checking,
monitoring, evaluation and program of lifetime maintenance.
◁ PFrA-53
Frequency-domain Parameter Identification of Nonlinear Generator
Excitation System Based on Improved Particle Filtering Algorithm,
pp.3087–3090
Liu, Ruilan
Nanjing Univ. of Post &Telecomomunication
Liu, Wei
Guangxi Power Grid Electric Power Research Inst.
A frequency-domain parameter identification method based on improved
particle filtering algorithm is proposed to identify parameters of
generator excitation system. The process model and measurement
model of the nonlinear excitation system parameter identification are
proposed, which can correct the position of each particle based on the
residual and the error between the particle and the local optimal point
in the iteration. The identification example based on real measured
data from a power plant shows that the proposed method is simple to
be implemented and can get better identification results especially for
nonlinear excitation system.
◁ PFrA-54
Nonlinear torsional vibration dynamics of rolling mill’s drive system
under spindle angle parametric excitation, pp.3091–3095
Shi, Peiming
Li, Jizhao
Zhao, Dongwei
Liu, Bin
Han, Dongying
Yanshan Univ.
Yanshan Univ.
Yanshan Univ.
Yanshan Univ.
Yanshan Univ.
Considering the effect caused by the spindle angle and friction force
of roll gap on the main drive system of rolling mill, the nonlinear torsional
vibration dynamical equation of rolling mill’s drive system is
established, which contains parametrical stiffness and nonlinear friction
damping. The amplitude-frequency characteristic equation and bifurcation
response equation are obtained by solving the dynamical equation
using the multi-scale method. The example analysis was carried out
on the 1780 rolling mill of Chengde Steel Group. It is shown that the
increase of motor’s disturbance torque will aggravate the vibration of
rolling mill’s drive system; the motor’s disturbance will enlarge when
the angle is too large or too small. Then the reasonable control range
of spindle angle is determined. It is best to keep spindle angle between
degree of 2 and 5.
◁ PFrA-55
Fuzzy Identification of the Steam Multivariable Temperature System
Based on Improved GK Clustering Algorithm, pp.3096–3101
Li, Ruonan
Du, Xiuxia
Li, Pingkang
Beijing Jiaotong Univ.
Beijing Jiaotong Univ.
Beijing Jiaotong Univ.
Boiler steam temperature system shows non-linear and time-varying,
so the accurate modeling of steam temperature system is particularly
important. A kind of method of fuzzy identification based on improved
GK clustering algorithm ( -sectional set fuzzy weighted GK clustering) is
proposed in connection with the traditional Fuzzy clustering algorithm’
s defects such as low precision and slow search speed. By analyzing
the correlation of input and output as weighted coefficient of fuzzy
clustering algorithm, it is employed to cluster the input data of sample
space. A more appropriate division of the input data is achieved, at the
same time the sectional set fuzzy GK clustering is proposed to identify
the model structure off line to improve searching rate, the method
confirms the premise parameter by improved fuzzy partitions clustering
algorithm and the consequence parameters is decided by LS algorithm.
In this paper, the simulation of the temperature control TITO system of
the boiler can illustrate that the method is accurate and effective.
◁ PFrA-56
Pitch-controlled Wind Turbine Synchronized Cutting-in Control and
Modeling-Simulation, pp.3113–3117
Xiao, Yunqi
Lv, Yuegang
North China Electric Power Univ.
North China Electric Power Univ.
As in cutting-in control process of pitch-controlled doubly-fed wind power
generation system, the synchronized control strategy of DFIG can
only regulate the stator voltages before cut in, the performance of pitch
control for maintaining wind turbine rotating speed is studied, in order to
prevent turbine over-speed. For accomplishing the whole cutting-in process
simulation, a method based on modeling generator respectively
and time-sharing simulation is also adopted. The simulating results val-
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