Study On Condition Classification Of Trolley Tracks Of Quayside Container Crane Model Applied With Wavelet Packet Analysis

The port of our country is more outstanding in the position of import-export trade as our country joins the World Trade Organization. Since the 1990s, it was the period that the containerized transport of the world developed at full speed, what the ones that corresponded to it in the quayside container crane (crane for short). And the crane is more large-scaly and high-efficiently. There is a hinge between the summer beam. The trolley always transits the hinge whenever it loads or unloads. It will cause impaction and vibration. Then these impaction and vibration will make important influence in the efficiency working of crane, if we don't discover those in time.In the last 20 years, there were lots of colleges, institutes and factories studied in the vibration detection and failure diagnosis. As a result, it has developed a lot of research work in this field. But the vibration detection and failure diagnosis to the hinge of crane is not perfect. Thus this thesis investigates in the point. Though the imitating experiment in crane model, there are a great deal of different signals are collected in different cases. Then the analysis technique of the Wavelet Packets and Statistic are applied.In using the Wavelet Packers, there is an issue in choosing the wave function. Because different wave functions has different time domain specification and frequency characteristic. It will express a different result that different wave functions are applied in the same signal. In this thesis, one dimension wave functions in common use is analyzed. Compared with these wave functions of Haar, Daubechies, Coiflet, Symlets, Bior, Meyer, Morlet and Mexican Hat, the wave function of Bior3.3 is picked out considering the character of this experiment.There are various methods in the analysis of statistics. Kurtosis Value and Clearance Factor were used to analysis these signals that have been decomposed by the Wavelet Packets. And Kurtosis Value and Clearance Factor were good after a good deal of data was compared. By Kurtosis Value, it can distinguish out which side has fault. And a law can be discovered by Clearance Factor. By virtue of the accuracy of the smoothing algorithm, it is used in the calculation of statistics.In this thesis, though establishing test parameters, test points, test hardwares and test cases, test method plan to analog the fault in the crane hinge by crane model. After dimensions for 5 of the Wavelet Packets and statistic analysis,statistics-Smooth Clearance Factor are increased as the increase of thedifference in height of the crane hinge, in 2625-2750 Hz frequency channels.These vibration data are credible because those collected from the simulation in the crane model. Therefore the analysis has certain guidance functions to the practical application for the future in the result!Cheng Mei (Mechanical electronic engineering) Directed by: Prof.Hu Xiong...