适用于水电机组开机过程的轴承状态综合评估方法
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摘要
为了克服利用单一限值难以充分表征水电机组轴承状态的缺陷和不足,基于机组开机过程多项参数指标,提出了一种具有层次性的轴承状态综合评估方法。该方法利用专家经验和权重渐变性的组合赋权来确定各项指标的综合权重,并通过概率论和模糊理论求取评判矩阵,最终得到水电机组轴承状态综合评价指标值。以某机组运行实测数据为例进行验证,结果表明该方法具有工程适用性。
It is difficult to fully characterize the bearing state of hydropower units by using a single limit to overcome this defect and deficiency, a multi-level bearing state comprehensive evaluation method was proposed based on multiple parameter indexes of the unit startup process. The method comprehensively uses the combined weighting method to determine the comprehensive weight of each index, which takes into account the expert experience and the gradual change of weight. Then it judges the matrix based on probability theory and fuzzy theory. Finally, the comprehensive evaluation index value of the bearing state of the hydropower unit is obtained. The actual test data of a unit is taken as an example to verify the results. The results show that the method has engineering applicability.
It is difficult to fully characterize the bearing state of hydropower units by using a single limit to overcome this defect and deficiency, a multi-level bearing state comprehensive evaluation method was proposed based on multiple parameter indexes of the unit startup process. The method comprehensively uses the combined weighting method to determine the comprehensive weight of each index, which takes into account the expert experience and the gradual change of weight. Then it judges the matrix based on probability theory and fuzzy theory. Finally, the comprehensive evaluation index value of the bearing state of the hydropower unit is obtained. The actual test data of a unit is taken as an example to verify the results. The results show that the method has engineering applicability.
引文
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[2]费修渔.频繁起动对水电机组寿命影响的分析[J].浙江电力,2003,22(4):18-21.
[3]基于健康样本的风电机组滚动轴承状态评估[J].中国水利水电科学研究院学报,2015,13(1):48-53.
[4]刘峰,王卫玉,陈启卷.基于实时信号的水电机组轴承运行分析与诊断[J].广东电力,2018,31(10):149-155.
[5]唐磊,陈启卷,王卫玉,等.基于征兆驱动和专家推理的水电机组轴承状态分析[J].水电能源科学,2018,36(5):137-140.
[6]马丽.基于数据融合技术的轴承健康状态评估系统的设计与实现[D].北京:北京工业大学,2017.
[7]孙松.基于改进的模糊评判和相对劣化度模型的轴承性能状况评估[J].煤矿机械,2007,28(12):76-78.
[8]肖剑.水电机组状态评估及智能诊断方法研究[D].武汉:华中科技大学,2014.
[9]杨铭.基于轴承非线性动力特性的水电机组轴系建模研究[D].武汉:华中科技大学,2007:1-2.
[10]程友星.风电机组轴承健康状态评估和劣化趋势预测方法的研究[D].北京:华北电力大学,2017.
[11]周建中,方仍存,向秀桥,等.基于开机过程信息融合的水电机组故障诊断方法[J].电力系统自动化,2008(13):76-80.
[12]刘任改,向文平,喻永松,等.基于变权层次分析的水电机组运行状态评估[J].水电站机电技术,2015(4):55-59.
[13]郑源.水力机组状态监测与故障诊断[M].北京:中国水利水电出版社,2016.
[14]WANG W Y,CHEN Q J,YAN D L,et al.A novel comprehensive evaluation method of the draft tube pressure pulsation of Francis turbine based on EEMD and information entropy,Mechanical Systems and Signal Processing,2019(116):772-786doi.org/10.1016/j.ymssp.201807.033
[15]李娜娜,何正友.主客观权重相结合的电能质量综合评估[J].电网技术,2009,33(6):55-61.
[16]骆正清,杨善林.层次分析法中几种标度的比较[J].系统工程理论与实践,2004,24(9):51-60.
[17]杨洋.基于水电大数据算法平台的故障模型验证[J].电力大数据,2018,21(10):74-81.
[18]王贤发,瞿自伟,覃远梁.水轮发电机轴承温度异常升高原因分析及防范措施[J].电力大数据,2018,21(2):89-92.