The state detection and fault diagnosis of internal-combustion engine becomes hotspot and nodus on research of engine equipment diagnosis and state detection technology.
内燃机的状态检测与故障诊断成为机械设备诊断与状态检测技术研究的热点与难点。
The results of experimental research have shown that the fuzzy neural networks can be successfully employed in the vibration fault detection in the firing tests of a turbo pump liquid rocket engine.
实验研究结果表明：模糊神经网络可以成功地用于泵压式液体火箭发动机热试车的振动故障检测。
Then the variation of main engine parameters were analysed based on the simulation results. This work laid the foundation for fault detection and diagnoses of this engine.
在引入故障影响因素的情况下，针对液体火箭发动机中常见的典型故障模式进行稳态故障效应仿真和分析，为该发动机的故障检测与诊断工作奠定了基础。
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