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   Effect of kernel function in support vector machine for the fault diagnosis of pump  
   
نویسنده sakthivel n.r. ,saravanamurugan s. ,nair b.b. ,elangovan m. ,sugumaran v.
منبع journal of engineering science and technology - 2016 - دوره : 11 - شماره : 6 - صفحه:826 -838
چکیده    Pumps are widely used in a variety of applications. defects and breakdown of these pumps will result in significant economic loss. therefore,these must be under continuous observation. in various applications,the role of pump is decisive and condition monitoring is crucial. a completely automated on-line pump condition monitoring system which can automatically inform the operator of any faults,promising reduction in maintenance cost with a greater productivity saving both time and money.this paper presents the application of support vector machine for classification using statistical features extracted from vibration signals under good and faulty conditions of a pump. effectiveness of various kernel functions of c-svc and γ-svc models are compared. the study gives some empirical guidelines for selecting an appropriate kernel in a classification problem. © school of engineering,taylor’s university.
کلیدواژه Fault diagnosis; Kernel function; Pump; Statistical features; Support vector machine
آدرس department of mechanical engineering,amrita school of engineering,amrita vishwa vidyapeetham,ettimadai,coimbatore, India, department of mechanical engineering,amrita school of engineering,amrita vishwa vidyapeetham,ettimadai,coimbatore, India, department electronics and communication engineering,amrita school of engineering,amrita vishwa vidyapeetham,ettimadai,coimbatore, India, department of mechanical engineering,amrita school of engineering,amrita vishwa vidyapeetham,ettimadai,coimbatore, India, school of mechanical and building sciences,vit university,chennai campus,chennai, India
 
     
   
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