The construction method of typical engine fault identification model based on Simulink

This paper provides a summary and overview of methods for constructing typical fault identification model for diesel engines based on Simulink, aiming at improving the efficiency of engine fault diagnosis and maintenance. First of all, the common types of diesel engine faults were analyzed, including intake and exhaust system faults, cooling system faults, lubrication system faults and fuel system faults. Then, the basic steps and methods of Simulink modeling are introduced in detail, by using data acquisition and preprocessing techniques, a large amount of sensor data was converted into signals that can be used as inputs. Next, this paper discussed the specific process of the fault identification model, including the data reading module, speed discrimination module, threshold discrimination module and state identification module, and the feasibility of the model is verified through practical application cases. The research show that the fault identification model based on Simulink can effectively improve the accuracy and efficiency of engine fault diagnosis, providing a new technical method to enhance the operational safety and reliability of engines, and also offering valuable reference for subsequent related research. Copyright (c) 2024 The Authors.