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化工学报  2015 

基于铜电解槽电流分布估计的烧板故障诊断

DOI: 10.11949/j.issn.0438-1157.20141844, PP. 1806-1814

Keywords: 成像,电解,算法,阴极棒,参数识别,实验验证

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Abstract:

铜电解过程中,为了实现阴极棒“烧板”故障的自动诊断和电流分布的实时监测。提出依据红外成像原理,采用红外相机拍摄铜电解槽槽面图像,提取处理后图像阴极棒部位灰度值,结合现场试验建立灰度值与物体表面温度的数学模型,进而求出阴极棒表面温度。其次,应用偏最小二乘法(PLS)分区建立阴极棒表面温度与电流之间的数学模型,整合后得出阴极棒中电流的平方值与阴极棒表面温度、阴极棒坐标点和环境温度为拟线性关系。依据模型导出的阴极棒电流与现场实测电流对比表明:该方法能较准确地测量阴极棒中电流,实现了铜电解过程阴极棒中电流分布的实时监测。此外,能准确自动诊断出发生“烧板”故障的阴极棒,通过阴极棒中电流的监控也能对“烧板”故障进行预测,实现了“烧板”故障的自动诊断。从而降低了阴极棒“烧板”故障的发生,为企业带来了良好的经济效益。

References

[1]  Zhu Zuze (朱祖泽), He Jiaqi (贺家齐). Modern Metallurgy of Copper (现代铜冶金学) [M]. Beijing: Science Press, 2003: 491-534
[2]  Eduardo P W, Pablo E A. Measurement of cathodic currents in equipotential inter-cell bars for copper electrowinning and electrorefining plants//Industry Applications Conference[C]. Conference Record of the 2007 IEEE, New Orleans, LA, 2007: 2074-2079
[3]  Laitenen I S. Modeling, simulation and optimization of a copper electrolysis cell group [D]. Julkaisu: Tampere University of Technology, 2009: 10-13
[4]  Bayliss C R. Modern techniques in electrolytic refining of copper [J]. Electronics and Power, 1976, 22: 773-776
[5]  Wu Jilie (吴继烈), Filzwieser A. Theory and plant practice of high electric current density for copper electrolysis [J]. Nonferrous Metals: Extractive Metallurgy (有色金属: 冶炼部分), 2014 (2): 13-17
[6]  Wiechmann E P, Vidal G A, Pagliero J A. Current-source connection of electrolytic cell electrodes:an improvement for electrowinning and electrorefinery [J]. IEEE Trans. on Ind. Application, 2006, 42: 851-855
[7]  Vidal G A, Wiechmann E P, Pagliero J A. Technological improvement in copper electrometallurgy: optibar segmented inter-cell bars [J]. Canadian Metallurgical Quarterly, 2004, 44: 147-154
[8]  Wiechmann E P, Vidal G A, Pagliero J A, Gonzlez J A. Copper electrowinning using segmented intercell bars for improved current distribution [J]. Canadian Metallurgical Quarterly, 2001, 41: 425-432
[9]  Aslin N, Stone D, Webb W. Current distribution in modern copper refining [J]. Xstrata ISAKidd Technical Papers, 2005: 12-13
[10]  Zheng Yajie (郑雅杰), Zhao Panfeng (赵攀峰), Wang Yong (王勇), Lü Zhong'an (吕重安). Effect of electrorefining with high current density on cathode copper [J]. Journal of Central South University: Science and Technology (中南大学学报: 自然科学版), 2009, 40 (2): 311-316
[11]  Zhou Songlin (周松林). Electrolytic refining technology of high strengthen copper and production practice [J]. Nonferrous Metals: Extractive Metallurgy (有色金属: 冶炼部分), 2013 (2): 1-4
[12]  Zhao Rentao, Lin Liming, Li Huade, Wang Youyu, Tie Jun. A new approach to establishing cathode rod temperature-current model based on nickel electrolysis cells [J]. Sensors and Transducers, 2014, 168 (4): 249-259
[13]  Zhao Rentao (赵仁涛), Wang Youyu (王友余), Li Huade (李华德), Tie Jun (铁军). Far infrared image contrast enhancement based on multi-particle swarm optimization [J]. Computer Simulation (计算机仿真), 2014, 31 (1): 361-382
[14]  Agueveque P E, Wiechmann E P, Herrera J. Measurable variables in copper electrowinning and their relevance to predict process performance//Industry Applications Society Annual Meeting[C].Lake Buena Vista, FL, 2013: 1-8
[15]  Shen Huan (沈峘), Li Shunming (李舜酩), Mao Jianguo (毛建国). Digital image restoration techniques a review [J]. Journal of Image and Graphics (中国图象图形学报), 2009, 14 (9): 1764-1775
[16]  Ruan Guangshi (阮光诗), Sun Junxi (孙俊喜), Sun Yang (孙阳). Disposing of outliers in camera-shake blurred images restoration [J]. Journal of Image and Graphics (中国图象图形学报), 2014, 19 (5): 677-682
[17]  Waghule D R, Ochawar R S. Overview on edge detection methods//Electronic Systems, Signal Processing and Computing Technologies (ICESC), 2014 International Conference[C]. Nagpur, 2014: 151-155
[18]  Wang Hongmao (王洪茂), Tie Jun (铁军), Xue Jilai (薛济来), Zhao Rentao (赵仁涛). Investigation of detection method for current distribution in Ni-electrolyzer [J]. Computer Simulation (计算机仿真), 2014, 31 (8): 245-249
[19]  Wang Huiwei (王惠文), Wu Zaibin (吴载斌), Meng Jie (孟洁). Partial Least Squares Regressing-Linear and Nnolinear Methods (偏最小二乘回归的线性与非线性方法) [M]. Beijing: National Defense Industry Press, 2006: 97-123
[20]  Billard L, Diday E. Symbolic regression analysis [J]. Classification, Clustering, and Data Analysis, 2002: 281-288
[21]  Fu Linghui, Wang Huiwen. A comparative research of polynomial regression modeling methods [J]. Journal of Applied Statistics and Management, 2004, 23 (1): 48-52

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