摘要
动力装置在长期运行后,其部件性能会逐渐衰退,容易导致各种故障发生。因此,对装置进行一定的气路数据测量,进而对装置进行诊断、预测具有重要意义。提出一种自适应灰色关联算法的动力装置故障诊断算法,通过对故障数据的关联计算处理,实现了动力装置故障模式的诊断。
Components in a power plant may degrade during operation,leading to serious faults.It is therefore essential to monitor gas-path measurement in a power plant,and carry out fault diagnosis for its components.For this purpose,a fault diagnostic method for power plant based on adaptive gray relation algorithm is proposed.By correlating calculation of the gas-path measurement,accurate recognition of fault patterns can be achieved.
出处
《上海电机学院学报》
2016年第2期81-87,共7页
Journal of Shanghai Dianji University
基金
上海电机学院大学生科研创新项目资助(A1-5701-15-012-01-066)
关键词
灰关联算法
动力装置
故障诊断
故障识别
gray relation algorithm
power plant
fault diagnosis
fault recognition