DocumentCode :
2959299
Title :
A new approach to load measurement for industrial scale ball mill
Author :
Si, Gangquan ; Cao, Hui ; Zhang, Yanbin ; Jia, Lixin
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an
fYear :
2008
fDate :
5-8 Aug. 2008
Firstpage :
302
Lastpage :
307
Abstract :
Precise load measurement is important and difficult for an industrial scale ball mill in thermal power plant. This paper presents a new approach which combines a novel feature extraction method and a hierarchical model to achieve this purpose. By analyzing the sensitivity distributions of working condition transitions and removing the ineffective information, the characteristic power spectrums (CPS) of noise and vibration signals are obtained. Then, three kinds of features: the feature energy, the centroid frequency and the frequency domain variance are extracted from the CPS. Based on adaptive network-based fuzzy inference system (ANFIS), a hierarchical model which consists of three ANFIS model is designed. The rules and initial parameters of each ANFIS model are obtained by subtractive clustering method. Experimental results show that the potential advantages of the proposed method are low model complexity, high estimated accuracy and good generalization ability. Moreover, as multi-sensors´ information are adopted, the measurement results may be more reliable.
Keywords :
ball milling; fuzzy neural nets; generalisation (artificial intelligence); inference mechanisms; noise; pattern clustering; power engineering computing; power plants; thermal power stations; adaptive network-based fuzzy inference system; centroid frequency; characteristic power spectrums; feature energy; feature extraction method; frequency domain variance; generalization ability; hierarchical model; industrial scale ball mill; load measurement; multisensors information; noise; sensitivity distribution; subtractive clustering method; thermal power plant; vibration signals; Ball milling; Employee welfare; Feature extraction; Frequency; Information analysis; Power generation; Power measurement; Power system modeling; Signal analysis; Thermal loading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4244-2631-7
Electronic_ISBN :
978-1-4244-2632-4
Type :
conf
DOI :
10.1109/ICMA.2008.4798770
Filename :
4798770
Link To Document :
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