Digital Intelligence Monitor and Intelligent Diagnosis Technology for Health Condition of Turbine EH Oil System
Year: 2025
Type: conference-paper
Abstract: With the deepening of industrial automation and intelligence, the health condition of steam turbines, as the key equipment of the power system, is particularly important. As a key component of the steam turbine, the health condition of the EH oil system plays a decisive role in the safety and stability of the entire power system. The working principle and common problems of EH oil system is reviewed, the root causes of common failures of EH oil system are analyzed, and the development and application of condition monitoring and fault diagnosis technology in power system are discussed, aiming at exploring the use of artificial intelligence and other technologies to monitor the condition and fault diagnosis of EH oil system. The design and application of digital intelligent monitoring and intelligent diagnosis technology in EH oil system is proposed. Through the analysis, it is concluded that: In the future, a large number of fault samples will be provided through digital and intelligent monitoring, intelligent diagnosis technology will be integrated, and intelligent technologies such as artificial intelligence, machine learning, and genetic algorithm will be used to carry out fault warning, fault diagnosis and health condition evaluation of the EH oil system, so as to improve the operational stability and safety of the EH oil system.
Authors: Yalong Zhang, Wu Xiong, Shuigen Xiong, Lihua Ao, Fuyuan Zhan, Yuejun Yang
Institution: Thermal Power Research Institute
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414307474