Fault Feature Extraction for Marine Diesel Engines Based on VMD-RCMFE
Diesel engine is the core power source of the ship,its failure will seriously affect the safety of the ship.In or-der to ensure the safety of the ship and crew members,it is necessary to study the fault diagnosis method for marine diesel engines.In this paper,a 6-cylinder diesel engine of WP6 ship was taken as the research object,and the multiple faults such as misfire,intake filter blockage,excessive intake valve clearance and excessive exhaust valve clearance were researched.Aiming at the non-linear and non-smooth characteristics of the vibration signal of the cylinder head of the marine diesel en-gine,a method based on variational mode decomposition (VMD),refined composite multiscale fuzzy entropy (RCMFE) and support vector machines (SVM) was proposed for diesel engine fault diagnosis.Firstly,the VMD method was used to reduce the noise of the cylinder head vibration signal.Then,the RCMFE method was applied to extract the fault features implied in the cylinder head vibration signal of the diesel engine Finally,the SVM model was adopted for diagnosis.It was found that the diagnostic accuracy can be up to 99.2％.
fault diagnosisship diesel enginecylinder head vibrationVMDRCMFE
万方数据
维普
