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High-pressure Rotary Motor Condition Monitoring And Fault Diagnosis

Posted on:2003-04-16Degree:MasterType:Thesis
Country:ChinaCandidate:X H WangFull Text:PDF
GTID:2192360065450758Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Electrical machines are the most important and main drive devices in manufactures and our daily life.No other kinds of machines can replace them.They are widely used in the modem world.Without electrical machines,the world would not be what it is today.When operating, they might have a lot of faults.If a main electrical machine is wrong in a work line ,the whole line will stop,even the whole productive system.The phenomenon of the faults are so complicated and various that the maintance worker should be skillful and very experienced.The history of fault diagnosis and protection is as archaic as the machines themselves. The manufacturers and users of electrical machines initially relied on simple proctections such as over-current, over-voltage,earth-fault,etc. to ensure safe and reliable operation.However,as unscheduled machine downtime can upset deadline and cause heavy fmacial losses, improvements were sought in the field of fault diagnosis. In 1970's a new technology of electrical machines' fault diagnosis-condition monitoring has arisen. The technology could judge and diagnose the faults by advanced technology and analysis instrument when the machine is on-line. It can also determine the fault spot and reason.This technology has been used in some technological fields and proved efficient .It has promoted the revolution of maintance system and the historial protection is replaced by preventive maintenance.With this technology,we can improve the reliability of machine and decrease the maintance fee.Recently,reserch has pick up a fervent pace in the area of fault diagnosis of electrical machines.The paper simply analyzes the fault reason of electrical machines,stressly describes and explores the methods of condition monitoring and fault diagnosis such as partial discharge, stator current ,rotating speed, vibration etc.Fault prognosis is now include diagnostic feature,reason ,spot.Prodigious improvement in signal processing hardware and software has made this possible.Primarily,these techniques depend on locating specific harmonic components of the fault .These harmonic components are usually diffirent for diffirent types of faults.Automated tools such as fuzzy logic based system is also simply presented in the paper.
Keywords/Search Tags:electrical machine, fault, condition monitoring, diagnosis, fuzzy techniques
PDF Full Text Request
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