| Rotating machinery such as fans, compressors and steam turbine are widelyused in industrial production. Condition monitoring and fault diagnosis systemcan help ensure safe and reliable operation of the monitored machines whichwill achieve great economic and social benefits. Vibration signal analysis basedcondition monitoring and fault diagnosis technique is one of the importantmethods for equipment maintenance and management. The analysis of vibrationsignal is the necessary precondition to carry on the accurate diagnosis.Kinds of improved signal processing methods are integrated into thevibration signals offline analysis system. Used to analyze simulation signals,laboratory analog signals and engineering signals, the algorithms work well andshow high computation efficiency. Twenty kinds of signal processing methodsenrich the function of this system. The improvement of algorithms providesbetter results. It’s significant to improve the level of diagnosis system of rotatingmachinery in our country.EEMD and ITD are further researched and applied to fault diagnosis ofrotating machinery. Based on EMD, EEMD is a new method that leads whitenoise into algorithms to conquer the disadvantages of EMD; as an effectivesignal processing method of the non-stationary and nonlinear signal, ITD hashigh computation efficiency. Both EEMD and ITD effectively solute theendpoint effects, mode aliasing shortcomings of EMD.Audio signals and vibration signals both contain machinery operationinformation. It is able to get more comprehensive equipment information.Therefore, focusing on wind turbine drive system, this paper proposes theVibration-acoustic analysis method based on fault diagnosis of rotatingmachinery using the vibration signals. This method provides a new thought todiagnose the rotating machinery. It works very well when it is used to assess anddiagnose the wind turbine machines’ drive system... |
