CAJ | 학술논문

针对机组状态监测技术无法实时、有效地获取机组健康状况信息的问题，根据系统构成与行为关系模型及专家通过人工试验掌握机组健康状况的思路，提出了基于宏试验的机组健康状况在线监测方法。将机组正常运行中经历的工况当成试验，与人工试验统称为宏试验；在机组全状态监测的基础上，实时自动地识别宏试验、记录试验数据及计算试验性能指标；通过运行状态异常检测及性能降低与越限检测实时评估机组健康状况，实现机组健康状况在线监测。该方法已成功应用于葛洲坝电站，实际运行证明了该方法的实用性与有效性。
침대궤조상태감측기술무법실시、유효지획취궤조건강상황신식적문제，근거계통구성여행위관계모형급전가통과인공시험장악궤조건강상황적사로，제출료기우굉시험적궤조건강상황재선감측방법。장궤조정상운행중경력적공황당성시험，여인공시험통칭위굉시험；재궤조전상태감측적기출상，실시자동지식별굉시험、기록시험수거급계산시험성능지표；통과운행상태이상검측급성능강저여월한검측실시평고궤조건강상황，실현궤조건강상황재선감측。해방법이성공응용우갈주패전참，실제운행증명료해방법적실용성여유효성。
In view of the inability of the condition monitoring technique of the hydroelectric generating sets to effectively obtain health condition information in real time, an online monitoring approach to the health condition of hydroelectric generating sets based on macro tests is proposed according to the model for the relationship between system composition and behavior and with the help of thought used to grasp the health condition of hydroelectric generating sets by experts through artificial tests. The operating conditions of hydroelectric generating sets in normal running are regarded as tests, which are spoken of as macro tests along with artificial tests. On the basis of complete state monitoring for hydroelectric generating sets, the identification of macro tests, the record of test data, and the calculation of performance indices of macro tests are automatically completed in real time. Through the detection of operating state abnormalities, degraded performance or detection ultra vires, online monitoring for the health condition of hydroelectric generating sets can be realized. This approach has been successfully applied in Gezhouba Hydropower Station, whose practicality and effectiveness are proved by actual operations.