Gas turbine is widely used because of its advantages of fast start and stop, no pollution, and high thermal efficiency. However, the working environment of high temperature, high pressure, and high speed makes the gas turbine prone to failure. The traditional gas path fault intelligent diagnosis scheme of the gas turbine has the problems of poor control effect and low scheduling accuracy. Experiment studies the application of neural network and reinforcement learning algorithm in gas path fault intelligent diagnosis of the gas turbine. The accurate control of fault diagnosis planning is realized from gas path fault diagnosis, daily maintenance, service condition monitoring, power utilization rate, and other aspects of the gas turbine. The reinforcement learning model can realize the intelligent diagnosis and record of gas path fault of the gas turbine, to achieve diversified analysis and intelligent diagnosis scheme. Through neural network algorithm and deep learning technology, the whole process monitoring of the gas turbine is realized, and the failure rate of the gas turbine in the working process is reduced. The experimental results show that, compared with the thermal fault diagnosis method and the fault diagnosis method of the electric percussion drill, using thermal imaging, the gas turbine gas path fault intelligent diagnosis model based on the reinforcement learning algorithm can complete the data information in the process of real-time data transmission. The quantified conversion and processing of the system has the advantages of higher control accuracy and faster response speed, which can effectively improve the diagnostic efficiency and accuracy.

中文翻译：

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强化学习算法模型在燃气轮机气路故障智能诊断中的应用

燃气轮机因其起停快、无污染、热效率高等优点而得到广泛应用。但高温、高压、高速的工作环境使得燃气轮机容易出现故障。传统的燃气轮机气路故障智能诊断方案存在控制效果差、调度精度低的问题。实验研究神经网络和强化学习算法在燃气轮机气路故障智能诊断中的应用。从燃气轮机气路故障诊断、日常维护、使用状态监测、电力利用率等方面实现故障诊断计划的精准控制。强化学习模型可以实现燃气轮机气路故障的智能诊断和记录，实现多样化的分析和智能诊断方案。通过神经网络算法和深度学习技术，实现燃气轮机的全过程监控，降低燃气轮机在工作过程中的故障率。实验结果表明，与热故障诊断方法和电动冲击钻故障诊断方法相比，利用热成像，基于强化学习算法的燃气轮机气路故障智能诊断模型能够完成燃气轮机气路故障智能诊断模型中的数据信息。实时数据传输过程。