The research of fault diagnosis for fuel injection system of diesel engine with ANN based on rough sets theory

Author(s):  
Longhan Cao ◽  
Changxiu Cao ◽  
Zhen Guo ◽  
Jianyong Li
2013 ◽  
Vol 644 ◽  
pp. 110-114
Author(s):  
Chang Shun Wang

This paper gives a brief introduction of rough sets theory. Taking the fault diagnosis of the diesel engine valve clearance for example, it discusses about the basic algorithms and methods to extract fault symptoms based on rough sets theory. The conclusion shows the possibility to develop intelligent fault diagnosis with the combined application of fuzzy theory and neural network theory.


2019 ◽  
Vol 179 (4) ◽  
pp. 75-79
Author(s):  
Łukasz GRABOWSKI ◽  
Paweł KARPIŃSKI ◽  
Grzegorz BARAŃSKI

This paper presents the results of experimental studies of the opposed-piston diesel engine. This engine was designed during one of the stages of the research on a new-type drive unit for gyrocopter applications. In order to conduct research, a special test stand as well as control and measurement systems were developed. As part of the work on the engine, the fuel injection system, engine temperature control system and measurement systems were designed. In addition, a computer program has been developed for the fuel injection system control (injectors, valves fuel pressure regulators). The paper presents the results of the preliminary tests for a single value of engine speed (1500 rpm) and three values of load defined by torque. The measured value of the indicated pressure made it possible to calculate the maximum pressure. The results obtained from the bench tests were analyzed.


2011 ◽  
Vol 130-134 ◽  
pp. 1681-1685 ◽  
Author(s):  
Guang Tian ◽  
Hao Tian ◽  
Guang Sheng Liu ◽  
Jin Hui Zhao ◽  
Li Ping Luo

The diagnosis of compound-fault is always a difficult point, and there is not an effective method in equipment diagnosis field, then a new method of compound-fault diagnosis was presented. The vibration signals at start-up in the gearbox are non-stationary signals, and traditional ways of diagnosis have low precision. Order tracking and wavelet packet and rough sets theory are introduced in the compound-fault diagnosis of bearing. First, the vibration signals at start-up were resampled using computer order tracking arithmetic and equal angle distributed vibration signals were obtained, and wavelet packet has been used for equal angle distributed vibration signals decomposition and reconstruction. Then, energy distribution of every frequency band can be calculated according to normalization process. A new feature vector can be obtained, then clear and concise decision rules can be obtained by rough sets theory. Finally, the result of compound-fault example proves that the proposed method has high validity and more amplitude appliance foreground.


Sign in / Sign up

Export Citation Format

Share Document