Vibration Based Condition Monitoring in Rotating Machineries

In Chapters 15 and 16, the measurement and signal processing techniques, transducers, signal conditioners and signal analysis equipments are described, which are used in the rotating machinery condition monitoring. It is very important to display the measured signal in convenient form so as to be useful for the interpretation of the condition of rotating machinery. In the present chapter, by looking at various forms of measured signal possible condition of machinery is provided. It also looks into correlation of a particular signature with a particular failure in more details regarding, which helps in assigning a particular failure. Every faults have a specific signature in the measured signal and it is most convenient and cheapest way to identify possible fault in a machinery. Now very advanced signal processing techniques (Wavelet transform, Genetic algorithms, Neural network, fuzzy logic and machine support vectors) are being applied in laboratory test set ups to detect, locate and quantify the faults and based on this even the life of the machinery is also being predicted. A brief review to application these techniques for rotating machinery condition monitoring is provided since detailed treatment to these newly emerging methods is beyond the scope of the present book. Proactive action to prevent a failure is the better the detection of failure. The next chapter will be dealt with introduction of the active control of rotors by magnetic bearings, which is still a research and applied area in the field of rotor dynamics.