Influence of Blade Profile Change on Gas Path Performance and Their Ontology-Based Fault Knowledge Expression

Yuanfu Li, Yueyun Xi, Jinwei Chen, Hui-sheng Zhang
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Abstract

During the operation of the gas turbine engine, the blades are prone to gas path faults such as fouling, corrosion, and erosion, or even fracture. Current research usually ignores the impact of different changes in blade profile on the gas path performance. Due to the lack of a unified description between the faulty blade and the gas path performance, it is difficult to implement the knowledge expression for the blade faults. This paper proposed the following framework to fill this gap. (1) Establish a corresponding relationship between blade profile change and gas path performance degradation based on numerical simulation. (2) Combined with ontology, case-based reasoning in knowledge expression of blade faults is investigated. The knowledge base for blade faults is constructed with ontology using the simulation results. The integration, traceability, and reuse of the simulation results are realized. (3) A case is used to verify the effectiveness of the ontology knowledge base for the faulty blade and realize the knowledge expression of blade faults. This will support the real-time diagnosis of blade faults and health management for the gas turbine engine.
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叶片型面变化对气路性能的影响及其基于本体的故障知识表达
燃气涡轮发动机在运行过程中,叶片容易出现结垢、腐蚀、冲蚀等气路故障,甚至断裂。目前的研究通常忽略了不同叶型变化对气路性能的影响。由于故障叶片与气路性能之间缺乏统一的描述,使得叶片故障的知识表达难以实现。本文提出了以下框架来填补这一空白。(1)在数值模拟的基础上建立叶片型线变化与气路性能退化的对应关系。(2)结合本体,研究了基于案例推理的叶片故障知识表达方法。根据仿真结果,利用本体构建了叶片故障知识库。实现了仿真结果的集成、可追溯性和可重用性。(3)通过实例验证了故障叶片本体知识库的有效性,实现了叶片故障的知识表达。这将支持燃气涡轮发动机叶片故障的实时诊断和健康管理。
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