User:Negi rahul/sandbox

HEALTH MONITORING OF ROTARY MACHINES:-

Machines plays an important role in modern industry. Health monitoring of machines is much needed operation to be done for continuous production in any industry. A machine comprises of various active elements which contributes in smooth functioning. Rotary parts plays an important role in any machine system.The stresses generated in rotary parts is common, and due to the stresses the tendency of failure of rotary part is obvious, to avoid the losses or hazards we need to inspect these parts time to time. The need to increase reliability against prime faults has attracted considerable interests in fault diagnosis of rotating machinery.There are various techniques to detect the fault in rotary machinery.Rolling element bearings,gears and rotors are the common components in rotating  machinery. The health condition of these key components represents that of the machine itself. Empirical mode decomposition (EMD) is one of the most powerful technique to detect the fault in rotary machinery. In this method we decomposes the signal into a set of complete and almost orthogonal components called intrinsic mode function(IMF). Intrinsic mode function indicates the natural oscillatory mode attached in the signal and it can used as the basis functions, and can be determined by the signal itself, thus it may be called as self adaptive signal processing technique. EMD was first introduces in 1998, and now a days widely adopted in fault diagnosis of rotary machinery.