它包括特别设计的算法和逻辑来启动，停止，控制和保护工业汽轮机或汽轮发电机组扩张器，驱动发电机，压缩机，水泵，或工业的球迷。
Itincludes specifically designed algorithms and logic to start, stop, control, and protect industrial steam turbines or turbo-expanders, driving generators, compressors, pumps, or industrial fans.
针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
Vibration amplitude of steam turbine is affected by operation parameters and random factors, the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
以某典型的300MW汽轮发电机组为例，详细地分析了它的汽轮机调速系统的构成、工作机理和主要特征。
The paper takes one 300MW turbo unit as a example, and analyses the composing and working mechanism and main character of the speed control system.
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