CAJ | 학술논문

水轮机压力脉动是水电机组运行过程中不可避免的现象，准确地识别和定量诊断脉动状态对机组高效稳定运行尤为重要。为此，提出了基于水电机组运行工况的水轮机压力脉动诊断策略，以水电机组实际运行工况为切入点，通过分析工况参数与压力脉动的非线性相关关系，得到影响压力脉动的主要相关工况参数，提取了融合机组运行工况参数与脉动幅值特性的特征向量，并利用支持向量机（SVM）与极限学习机（ELM）两种诊断方法进行脉动状态定性诊断。研究压力脉动幅值历史统计规律，提出了脉动状态对机组劣化程度的模糊评估函数，反演了定性诊断结果与机组健康状态的映射关系，实现压力脉动的定量诊断。实例验证表明，相对于仅基于脉动幅值的诊断策略而言，该方法诊断准确率更高，定量诊断指标可靠有效。这为水电机组安全稳定运行提供技术保障。
수륜궤압력맥동시수전궤조운행과정중불가피면적현상，준학지식별화정량진단맥동상태대궤조고효은정운행우위중요。위차，제출료기우수전궤조운행공황적수륜궤압력맥동진단책략，이수전궤조실제운행공황위절입점，통과분석공황삼수여압력맥동적비선성상관관계，득도영향압력맥동적주요상관공황삼수，제취료융합궤조운행공황삼수여맥동폭치특성적특정향량，병이용지지향량궤（SVM）여겁한학습궤（ELM）량충진단방법진행맥동상태정성진단。연구압력맥동폭치역사통계규률，제출료맥동상태대궤조열화정도적모호평고함수，반연료정성진단결과여궤조건강상태적영사관계，실현압력맥동적정량진단。실례험증표명，상대우부기우맥동폭치적진단책략이언，해방법진단준학솔경고，정량진단지표가고유효。저위수전궤조안전은정운행제공기술보장。
The pressure pulsation during operations of a hydroelectric generating unit (HGU )is an inevitable phenomenon.Diagnosing and assessing accurately its state are of particular importance.As the pressure pulsation was closely related to the operating state of a HGU,a novel diagnosis strategy based on the HGU's working condition was proposed here.Firstly,the contribution rates of condition parameters based on the mutual relation analysis were computed to extract the superior condition parameters.The superior condition parameters and the time-frequency featares of pulsation signals were fused,from the fusion information the eigenvectors of pressure pulsation were extracted.Then,the support vector machine (SVM)and the extreme learning machine (ELM)were used to diagnose the pulsation state.Finally,in order to achieve a quantitative diagnosis for pressure pulsation,the fuzzy evaluation function for pressure pulsation versus the unit degradation level was proposed with the fuzzy evaluation theory.The results of a real example showed that this diagnosis strategy is better than the traditional time-frequency diagnosis strategy,and it is of practical guiding significance for safety and stable operation of a HGU.