基于热电联产的汽轮机组油膜振荡故障诊断系统设计

常规振荡故障诊断系统,采集振荡信号噪声较大,导致诊断的故障类别信任度较低.针对这一问题,提出基于热电联产的汽轮机组油膜振荡故障诊断系统.耦合热电联产生产方式,循环汽轮机组多余排汽,通过排汽热量增加系统发电量完成硬件设计;采用小波包降噪算法,消除采集振荡信号噪声,分解信号各个时刻和频带,排序频带内时域子信号能量值,构成故...

Design of Oil Film Oscillation Fault Diagnosis System for Steam Turbine based on Cogeneration

In the conventional oscillation fault diagnosis system, the noise of the collected oscillation signal is large, which leads to the low confidence of the fault category. In order to solve this problem, a fault diagnosis system for oil film oscillation of steam turbine based on cogeneration is proposed. Coupled with cogeneration production mode, the redundant exhaust steam of circulating steam turbine unit is used to increase the power generation of the system to complete the hardware design; the wavelet packet de-noising algorithm is used to eliminate the collected oscillation signal noise, decompose each time and frequency band of the signal, sort the time domain sub signal energy value in the frequency band, form the fault signal eigenvector, input the neural network, and output the oscillation fault after training The diagnosis mode completes the software design. The oil film oscillation signals under the conditions of full load, minimum load and noise are collected, and the comparative experiments are set. The results show that the designed system improves the reliability of fault diagnosis, and the fault diagnosis results are more accurate and reliable.